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--- |
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dataset_info: |
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features: |
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- name: image_id |
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dtype: int64 |
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- name: image |
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dtype: image |
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- name: objects |
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struct: |
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- name: bbox |
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sequence: |
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sequence: int64 |
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- name: categories |
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sequence: string |
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splits: |
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- name: train |
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num_bytes: 71015506.0 |
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num_examples: 566 |
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download_size: 70817145 |
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dataset_size: 71015506.0 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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--- |
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# Dataset Card for "oct-object-detection-v4" |
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Dataset is composed of images with multiples object detection box in coco format (x,y,w,h). Images are OCT (type of eye scaner) with boxes indicating some features associated to AMD disease. |
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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. |
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[Source datataset](https://doi.org/10.1101/2023.03.29.534704) |
