README.md

metadata

dataset_info:
  features:
    - name: image_id
      dtype: int64
    - name: image
      dtype: image
    - name: objects
      struct:
        - name: bbox
          sequence:
            sequence: int64
        - name: categories
          sequence: string
  splits:
    - name: train
      num_bytes: 71015506
      num_examples: 566
  download_size: 70817145
  dataset_size: 71015506
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Dataset Card for "oct-object-detection-v4"

Dataset is composed of images with multiples object detection box in coco format (xmin, ymin, xmax, ymax). Images are OCT (type of eye scaner) with boxes indicating some features associated to AMD disease. The difference from v3 is images are grouped (not duplicated images in multiples row) and they can have multiples labels-boxes in the objects field. So there are, 566 unique images, there are 566 rows, one per image. Source datataset