metadata
license: cc-by-4.0
Code snippet to visualise the position of the box
import matplotlib.image as img
import matplotlib.pyplot as plt
from datasets import load_dataset
from matplotlib.patches import Rectangle
# Load dataset
ds_name = "SaulLu/Caltech-101"
ds_config = "without_background_category"
ds_without = load_dataset(ds_name, ds_config, use_auth_token=True)
# Extract information for the sample we want to show
index = 100
sample = ds_without["train"][index]
box_coord = sample["annotation"]["box_coord"][0]
img_path = sample["image"].filename
# Create plot
# define Matplotlib figure and axis
fig, ax = plt.subplots()
# plot figure
image = img.imread(img_path)
ax.imshow(image)
# add rectangle to plot
ax.add_patch(
Rectangle((box_coord[2], box_coord[0]), box_coord[3] - box_coord[2], box_coord[1] - box_coord[0], fill=None)
)
# display plot
plt.show()
Result:
