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Datasets:
milkyroad
/
C

Tasks:
Image Classification
Modalities:
Image
Text
Formats:
parquet
Languages:
English
Size:
1K - 10K
Tags:
medical
cystoscopy
bladder-cancer
Libraries:
Datasets
Dask
Polars
License:
Dataset card Data Studio Files
xet
 Community
C

Commit History

  1. Update README for flattened single-split structure with inline segmentation

    milkyroad
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    b6315dd

  2. Remove obsolete loose images/segmentations/metadata/splits (flattened into data/train parquet)

    milkyroad
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    d2a35c4

  3. Flatten C: single train split, embedded images + inline segmentation polygons, remove splits

    milkyroad
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    8311b2e

  1. Add 8067 cystoscopy images (part 14)

    milkyroad
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    c920aad

  2. Add 8067 cystoscopy images (part 13)

    milkyroad
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    73bc955

  3. Add 8067 cystoscopy images (part 12)

    milkyroad
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    301b876

  4. Add 8067 cystoscopy images (part 11)

    milkyroad
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    c41af0a

  5. Add 8067 cystoscopy images (part 10)

    milkyroad
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    f94a739

  6. Add 8067 cystoscopy images (part 9)

    milkyroad
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    1f5b56a

  7. Add 8067 cystoscopy images (part 8)

    milkyroad
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    4b379bd

  8. Add 8067 cystoscopy images (part 7)

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    777e9db

  9. Add 8067 cystoscopy images (part 6)

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    1fed287

  10. Add 8067 cystoscopy images (part 5)

    milkyroad
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    0274518

  11. Add 8067 cystoscopy images (part 4)

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    ab59058

  12. Add 8067 cystoscopy images (part 3)

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    d4c02c2

  13. Add 8067 cystoscopy images (part 2)

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    5f2f5aa

  14. Add 8067 cystoscopy images

    milkyroad
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    43bbf07

  15. Add metadata, splits, stripped segmentations, dictionary, LICENSE, and dataset card (part 4)

    milkyroad
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    aa9be13

  16. Add metadata, splits, stripped segmentations, dictionary, LICENSE, and dataset card (part 3)

    milkyroad
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    22e0ab8

  17. Add metadata, splits, stripped segmentations, dictionary, LICENSE, and dataset card (part 2)

    milkyroad
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    5067c95

  18. Add metadata, splits, stripped segmentations, dictionary, LICENSE, and dataset card

    milkyroad
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    1826e37

  19. initial commit

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    6f9af9f