

The examples in the dataset have the following fields:
- image_id: the example image id
- image: a PIL.Image.Image object containing the image
- width: width of the image
- height: height of the image
- objects: a dictionary containing bounding box metadata for the objects in the image:
  - id: the annotation id
  - area: the area of the bounding box
  - bbox: the object's bounding box (in the COCO format )
  - category: the object's category, with possible values including Coverall (0), Face_Shield (1), Gloves (2), Goggles (3) and Mask (4)
You may notice that the bbox field follows the COCO format, which is the format that the DETR model expects.
However, the grouping of the fields inside objects differs from the annotation format DETR requires. You will
need to apply some preprocessing transformations before using this data for training.
To get an even better understanding of the data, visualize an example in the dataset.