task_name stringclasses 13
values | dataset_name stringclasses 13
values | id stringlengths 4 47 | data_type stringclasses 4
values | input_ts dict | input_text stringclasses 593
values | gt_text stringclasses 75
values | gt_result dict | meta_data unknown |
|---|---|---|---|---|---|---|---|---|
ShipsEar | ShipsEar | 81__25_09_13_H3_corriente_seg2 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/81__25_09_13_H3_corriente_seg2.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Natural ambient noise. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Natural ambient noise"
]
} | {
"ori_file_path": "81__25_09_13_H3_corriente.wav",
"seg_index": 2
} |
ShipsEar | ShipsEar | 81__25_09_13_H3_corriente_seg3 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/81__25_09_13_H3_corriente_seg3.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Natural ambient noise. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Natural ambient noise"
]
} | {
"ori_file_path": "81__25_09_13_H3_corriente.wav",
"seg_index": 3
} |
ShipsEar | ShipsEar | 81__25_09_13_H3_corriente_seg4 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/81__25_09_13_H3_corriente_seg4.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Natural ambient noise. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Natural ambient noise"
]
} | {
"ori_file_path": "81__25_09_13_H3_corriente.wav",
"seg_index": 4
} |
ShipsEar | ShipsEar | 81__25_09_13_H3_corriente_seg5 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/81__25_09_13_H3_corriente_seg5.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Natural ambient noise. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Natural ambient noise"
]
} | {
"ori_file_path": "81__25_09_13_H3_corriente.wav",
"seg_index": 5
} |
ShipsEar | ShipsEar | 81__25_09_13_H3_corriente_seg6 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/81__25_09_13_H3_corriente_seg6.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Natural ambient noise. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Natural ambient noise"
]
} | {
"ori_file_path": "81__25_09_13_H3_corriente.wav",
"seg_index": 6
} |
ShipsEar | ShipsEar | 93__A__Draga_1_seg0 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/93__A__Draga_1_seg0.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Dredger. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Dredger"
]
} | {
"ori_file_path": "93__A__Draga_1.wav",
"seg_index": 0
} |
ShipsEar | ShipsEar | 95__A__Draga_3_seg0 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/95__A__Draga_3_seg0.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Dredger. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Dredger"
]
} | {
"ori_file_path": "95__A__Draga_3.wav",
"seg_index": 0
} |
ShipsEar | ShipsEar | 95__A__Draga_3_seg1 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/95__A__Draga_3_seg1.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Dredger. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Dredger"
]
} | {
"ori_file_path": "95__A__Draga_3.wav",
"seg_index": 1
} |
ShipsEar | ShipsEar | 95__A__Draga_3_seg2 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/95__A__Draga_3_seg2.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Dredger. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Dredger"
]
} | {
"ori_file_path": "95__A__Draga_3.wav",
"seg_index": 2
} |
DeepShip | DeepShip | Cargo_20171119b-29_151043_00150 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Cargo_20171119b-29_151043_00150.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Cargo. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Cargo"
]
} | {} |
DeepShip | DeepShip | Tug_20171123-21_035104_00843 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tug_20171123-21_035104_00843.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tug. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tug"
]
} | {} |
DeepShip | DeepShip | Tanker_20170822-133_172736_00027 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tanker_20170822-133_172736_00027.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tanker. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tanker"
]
} | {} |
DeepShip | DeepShip | Tanker_20161022-44_030503_00180 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tanker_20161022-44_030503_00180.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tanker. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tanker"
]
} | {} |
DeepShip | DeepShip | Passengership_20180921-186_111213_00204 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Passengership_20180921-186_111213_00204.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Passengership. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Passengership"
]
} | {} |
DeepShip | DeepShip | Cargo_20171202c-63_123015_00219 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Cargo_20171202c-63_123015_00219.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Cargo. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Cargo"
]
} | {} |
DeepShip | DeepShip | Passengership_20160514-7_113853_00291 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Passengership_20160514-7_113853_00291.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Passengership. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Passengership"
]
} | {} |
DeepShip | DeepShip | Passengership_20170429a-68_102113_00012 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Passengership_20170429a-68_102113_00012.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Passengership. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Passengership"
]
} | {} |
DeepShip | DeepShip | Tug_20171114-8_072235_00255 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tug_20171114-8_072235_00255.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tug. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tug"
]
} | {} |
DeepShip | DeepShip | Tanker_20180418-193_004704_00303 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tanker_20180418-193_004704_00303.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tanker. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tanker"
]
} | {} |
DeepShip | DeepShip | Cargo_20171105a-3_3_00210 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Cargo_20171105a-3_3_00210.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Cargo. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Cargo"
]
} | {} |
DeepShip | DeepShip | Tug_20171214a-53_184639_00096 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tug_20171214a-53_184639_00096.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tug. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tug"
]
} | {} |
DeepShip | DeepShip | Cargo_20171111e-9_9_00180 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Cargo_20171111e-9_9_00180.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Cargo. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Cargo"
]
} | {} |
DeepShip | DeepShip | Tanker_20170723a-128_192900_00279 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tanker_20170723a-128_192900_00279.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tanker. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tanker"
]
} | {} |
DeepShip | DeepShip | Tanker_20161113a-53_212239_00024 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tanker_20161113a-53_212239_00024.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tanker. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tanker"
]
} | {} |
DeepShip | DeepShip | Tug_20171121-19_101117_00960 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tug_20171121-19_101117_00960.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tug. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tug"
]
} | {} |
DeepShip | DeepShip | Tanker_20180411-189_081047_00000 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tanker_20180411-189_081047_00000.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tanker. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tanker"
]
} | {} |
DeepShip | DeepShip | Cargo_20171210-88_004442_00534 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Cargo_20171210-88_004442_00534.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Cargo. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Cargo"
]
} | {} |
DeepShip | DeepShip | Tanker_20170216-81_035911_00402 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tanker_20170216-81_035911_00402.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tanker. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tanker"
]
} | {} |
DeepShip | DeepShip | Cargo_20171127-53_231436_00195 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Cargo_20171127-53_231436_00195.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Cargo. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Cargo"
]
} | {} |
DeepShip | DeepShip | Passengership_20160507a-4_4_00141 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Passengership_20160507a-4_4_00141.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Passengership. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Passengership"
]
} | {} |
DeepShip | DeepShip | Passengership_20180711-178_094820_00159 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Passengership_20180711-178_094820_00159.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Passengership. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Passengership"
]
} | {} |
DeepShip | DeepShip | Tanker_20180226-180_033811_00150 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tanker_20180226-180_033811_00150.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tanker. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tanker"
]
} | {} |
DeepShip | DeepShip | Tug_20171217a-59_050224_00348 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tug_20171217a-59_050224_00348.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tug. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tug"
]
} | {} |
DeepShip | DeepShip | Passengership_20160904a-39_035818_00084 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Passengership_20160904a-39_035818_00084.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Passengership. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Passengership"
]
} | {} |
DeepShip | DeepShip | Tug_20171123-21_035104_00783 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tug_20171123-21_035104_00783.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tug. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tug"
]
} | {} |
DeepShip | DeepShip | Cargo_20171111e-9_9_00258 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Cargo_20171111e-9_9_00258.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Cargo. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Cargo"
]
} | {} |
DeepShip | DeepShip | Tug_20171201-32_024235_00369 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tug_20171201-32_024235_00369.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tug. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tug"
]
} | {} |
DeepShip | DeepShip | Passengership_20170530a-87_165315_00033 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Passengership_20170530a-87_165315_00033.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Passengership. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Passengership"
]
} | {} |
DeepShip | DeepShip | Tanker_20160604-11_171238_00303 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tanker_20160604-11_171238_00303.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tanker. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tanker"
]
} | {} |
DeepShip | DeepShip | Tug_20171121-19_101117_00948 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tug_20171121-19_101117_00948.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tug. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tug"
]
} | {} |
DeepShip | DeepShip | Passengership_20170520a-84_174851_00012 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Passengership_20170520a-84_174851_00012.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Passengership. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Passengership"
]
} | {} |
DeepShip | DeepShip | Tanker_20160823-31_041452_00132 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tanker_20160823-31_041452_00132.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tanker. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tanker"
]
} | {} |
DeepShip | DeepShip | Tanker_20161022-44_030503_00186 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tanker_20161022-44_030503_00186.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tanker. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tanker"
]
} | {} |
DeepShip | DeepShip | Cargo_20171202c-63_123015_00195 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Cargo_20171202c-63_123015_00195.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Cargo. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Cargo"
]
} | {} |
DeepShip | DeepShip | Tug_20171221-61_114923_00213 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tug_20171221-61_114923_00213.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tug. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tug"
]
} | {} |
DeepShip | DeepShip | Tanker_20161009-42_42_00021 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tanker_20161009-42_42_00021.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tanker. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tanker"
]
} | {} |
DeepShip | DeepShip | Passengership_20180711-178_094820_00174 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Passengership_20180711-178_094820_00174.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Passengership. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Passengership"
]
} | {} |
DeepShip | DeepShip | Cargo_20171210-88_004442_00321 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Cargo_20171210-88_004442_00321.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Cargo. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Cargo"
]
} | {} |
DeepShip | DeepShip | Passengership_20170511a-76_195844_00168 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Passengership_20170511a-76_195844_00168.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Passengership. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Passengership"
]
} | {} |
DeepShip | DeepShip | Passengership_20160521a-10_041411_00174 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Passengership_20160521a-10_041411_00174.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Passengership. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Passengership"
]
} | {} |
DeepShip | DeepShip | Cargo_20171117b-25_055206_00036 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Cargo_20171117b-25_055206_00036.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Cargo. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Cargo"
]
} | {} |
DeepShip | DeepShip | Tanker_20170625-118_180527_00060 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tanker_20170625-118_180527_00060.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tanker. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tanker"
]
} | {} |
DeepShip | DeepShip | Passengership_20170517a-82_162940_00018 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Passengership_20170517a-82_162940_00018.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Passengership. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Passengership"
]
} | {} |
DeepShip | DeepShip | Passengership_20171120-131_163321_00069 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Passengership_20171120-131_163321_00069.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Passengership. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Passengership"
]
} | {} |
DeepShip | DeepShip | Cargo_20171214a-101_075400_00255 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Cargo_20171214a-101_075400_00255.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Cargo. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Cargo"
]
} | {} |
DeepShip | DeepShip | Cargo_20171215b-108_114505_00027 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Cargo_20171215b-108_114505_00027.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Cargo. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Cargo"
]
} | {} |
DeepShip | DeepShip | Tug_20171225-64_015934_00105 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tug_20171225-64_015934_00105.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tug. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tug"
]
} | {} |
DeepShip | DeepShip | Cargo_20171126-49_023314_00093 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Cargo_20171126-49_023314_00093.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Cargo. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Cargo"
]
} | {} |
DeepShip | DeepShip | Tug_20171213a-52_071716_00123 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tug_20171213a-52_071716_00123.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tug. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tug"
]
} | {} |
DeepShip | DeepShip | Cargo_20171106-4_4_00075 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Cargo_20171106-4_4_00075.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Cargo. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Cargo"
]
} | {} |
DeepShip | DeepShip | Tug_20171225-64_015934_00435 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tug_20171225-64_015934_00435.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tug. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tug"
]
} | {} |
DeepShip | DeepShip | Tanker_20170122b-74_050415_00069 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tanker_20170122b-74_050415_00069.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tanker. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tanker"
]
} | {} |
DeepShip | DeepShip | Cargo_20171213g-100_234857_00036 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Cargo_20171213g-100_234857_00036.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Cargo. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Cargo"
]
} | {} |
DeepShip | DeepShip | Cargo_20171215c-109_141018_00054 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Cargo_20171215c-109_141018_00054.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Cargo. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Cargo"
]
} | {} |
DeepShip | DeepShip | Passengership_20171017-124_095628_00027 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Passengership_20171017-124_095628_00027.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Passengership. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Passengership"
]
} | {} |
DeepShip | DeepShip | Passengership_20170509-74_174012_00201 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Passengership_20170509-74_174012_00201.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Passengership. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Passengership"
]
} | {} |
DeepShip | DeepShip | Tanker_20180725-227_013354_00477 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tanker_20180725-227_013354_00477.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tanker. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tanker"
]
} | {} |
DeepShip | DeepShip | Tanker_20180610-215_135143_00078 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tanker_20180610-215_135143_00078.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tanker. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tanker"
]
} | {} |
DeepShip | DeepShip | Tug_20171217a-59_050224_00453 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tug_20171217a-59_050224_00453.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tug. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tug"
]
} | {} |
DeepShip | DeepShip | Passengership_20180722-179_181231_00489 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Passengership_20180722-179_181231_00489.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Passengership. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Passengership"
]
} | {} |
DeepShip | DeepShip | Tug_20171213a-52_071716_00078 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tug_20171213a-52_071716_00078.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tug. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tug"
]
} | {} |
DeepShip | DeepShip | Tug_20171201-32_024235_00459 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tug_20171201-32_024235_00459.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tug. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tug"
]
} | {} |
DeepShip | DeepShip | Tanker_20170629-120_215813_00294 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tanker_20170629-120_215813_00294.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tanker. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tanker"
]
} | {} |
DeepShip | DeepShip | Tug_20171121-19_101117_00729 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tug_20171121-19_101117_00729.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tug. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tug"
]
} | {} |
DeepShip | DeepShip | Tanker_20170510-105_041848_00054 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tanker_20170510-105_041848_00054.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tanker. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tanker"
]
} | {} |
DeepShip | DeepShip | Passengership_20180905b-182_061547_00090 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Passengership_20180905b-182_061547_00090.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Passengership. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Passengership"
]
} | {} |
DeepShip | DeepShip | Cargo_20171210-88_004442_00426 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Cargo_20171210-88_004442_00426.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Cargo. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Cargo"
]
} | {} |
DeepShip | DeepShip | Cargo_20171114c-16_16_00090 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Cargo_20171114c-16_16_00090.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Cargo. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Cargo"
]
} | {} |
DeepShip | DeepShip | Passengership_20171017-124_095628_00174 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Passengership_20171017-124_095628_00174.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Passengership. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Passengership"
]
} | {} |
DeepShip | DeepShip | Tug_20171121-19_101117_00456 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tug_20171121-19_101117_00456.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tug. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tug"
]
} | {} |
DeepShip | DeepShip | Tug_20171121-19_101117_00048 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tug_20171121-19_101117_00048.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tug. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tug"
]
} | {} |
DeepShip | DeepShip | Passengership_20180905b-182_061547_00126 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Passengership_20180905b-182_061547_00126.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Passengership. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Passengership"
]
} | {} |
DeepShip | DeepShip | Tug_20171121-19_101117_00678 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tug_20171121-19_101117_00678.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tug. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tug"
]
} | {} |
DeepShip | DeepShip | Passengership_20180219-145_034422_00153 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Passengership_20180219-145_034422_00153.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Passengership. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Passengership"
]
} | {} |
DeepShip | DeepShip | Tug_20171217a-59_050224_00054 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tug_20171217a-59_050224_00054.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tug. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tug"
]
} | {} |
DeepShip | DeepShip | Tug_20171225-64_015934_00489 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tug_20171225-64_015934_00489.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tug. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tug"
]
} | {} |
DeepShip | DeepShip | Cargo_20171124c-42_134001_00051 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Cargo_20171124c-42_134001_00051.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Cargo. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Cargo"
]
} | {} |
DeepShip | DeepShip | Tanker_20170216-81_035911_00450 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tanker_20170216-81_035911_00450.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tanker. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tanker"
]
} | {} |
DeepShip | DeepShip | Passengership_20170408a-66_224944_00042 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Passengership_20170408a-66_224944_00042.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Passengership. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Passengership"
]
} | {} |
DeepShip | DeepShip | Cargo_20171210c-90_124043_00027 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Cargo_20171210c-90_124043_00027.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Cargo. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Cargo"
]
} | {} |
DeepShip | DeepShip | Cargo_20171126b-51_044753_00219 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Cargo_20171126b-51_044753_00219.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Cargo. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Cargo"
]
} | {} |
DeepShip | DeepShip | Cargo_20171213g-100_234857_00081 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Cargo_20171213g-100_234857_00081.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Cargo. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Cargo"
]
} | {} |
DeepShip | DeepShip | Cargo_20171207b-81_032120_00351 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Cargo_20171207b-81_032120_00351.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Cargo. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Cargo"
]
} | {} |
DeepShip | DeepShip | Passengership_20171210-135_021603_00075 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Passengership_20171210-135_021603_00075.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Passengership. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Passengership"
]
} | {} |
DeepShip | DeepShip | Passengership_20160514-7_113853_00117 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Passengership_20160514-7_113853_00117.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Passengership. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Passengership"
]
} | {} |
DeepShip | DeepShip | Tanker_20161002-40_130331_00111 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tanker_20161002-40_130331_00111.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tanker. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tanker"
]
} | {} |
DeepShip | DeepShip | Tanker_20160907-36_094356_00411 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Tanker_20160907-36_094356_00411.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Tanker. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Tanker"
]
} | {} |
DeepShip | DeepShip | Passengership_20171017-124_095628_00258 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Passengership_20171017-124_095628_00258.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Passengership. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Passengership"
]
} | {} |
DeepShip | DeepShip | Passengership_20171017-124_095628_00084 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Passengership_20171017-124_095628_00084.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Passengership. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Passengership"
]
} | {} |
DeepShip | DeepShip | Passengership_20171120-131_163321_00117 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-DeepShip-Vessel_Type_Classification/raw_input/Passengership_20171120-131_163321_00117.wav",
"length": 96000,
"timestamps": [],
"fs": 32000
} | Given an underwater acoustic recording from the DeepShip dataset, which contains real-world underwater recordings of commercial vessels collected in the Strait of Georgia, classify the vessel into one of the following 4 categories: Cargo, Passengership, Tanker, Tug. Analyze the recording and determine which category it... | The recording is classified as Passengership. | {
"class_list": [
"Cargo",
"Passengership",
"Tanker",
"Tug"
],
"gt_class": [
"Passengership"
]
} | {} |
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