Add dataset card

README.md

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+---
+license: cc0-1.0
+task_categories:
+- image-segmentation
+tags:
+- medical
+- dermoscopy
+- skin
+- melanoma
+- lesion-segmentation
+pretty_name: ISIC 2017 — Skin Lesion Segmentation (Task 1)
+size_categories:
+- 1K<n<10K
+---
+
+# ISIC 2017 — Skin Lesion Segmentation (Task 1)
+
+Dermoscopic RGB images of skin lesions (melanoma / seborrheic keratosis / nevus)
+with expert binary lesion-boundary masks, from the ISBI 2017 challenge
+*"Skin Lesion Analysis Toward Melanoma Detection"* hosted by the International
+Skin Imaging Collaboration (ISIC).
+
+| Split | Images | Masks | Melanoma | Seborrheic keratosis | Nevus |
+|---|---|---|---|---|---|
+| train | 2000 | 2000 | 374 | 254 | 1372 |
+| validation | 150 | 150 | 30 | 42 | 78 |
+| test | 600 | 600 | 117 | 90 | 393 |
+
+All three splits carry public ground truth. The test split is the official
+**`Test_v2`** release — the final public revision of the challenge test set
+(v1 was withdrawn upstream). Resolutions vary widely (~540×722 up to
+4499×6748 px).
+
+## Schema
+
+| Column | Type | Notes |
+|---|---|---|
+| `image_id` | string | Stable ISIC Archive ID (`ISIC_XXXXXXX`) — cross-references all ISIC challenge editions |
+| `image` | Image | Original challenge JPEG, bytes unmodified |
+| `mask` | Image | Original expert mask PNG: **0 = background, 255 = lesion** |
+| `age_approximate` | float | From the official challenge metadata CSV; null when unknown |
+| `sex` | string | `male` / `female`; null when unknown |
+| `in_isic2018_train` | bool | True if this image also appears in ISIC 2018 Task 1's training split (see below) |
+
+Masks were created by expert clinicians via manual polyline tracing or a
+supervised flood-fill workflow (one published mask per image; the per-image
+method is not disclosed). The `*_superpixels.png` scaffolding files and the
+Part-2 (dermoscopic features) / Part-3 (classification) ground truth belong to
+other challenge tasks and are not mirrored here.
+
+## ⚠️ Overlap with ISIC 2018 (leakage warning)
+
+ISIC challenge editions draw from the same growing archive. Measured by exact
+`image_id` intersection against ISIC 2018 Task 1:
+
+- **2,450 / 2,750 images (89.1%) of ISIC 2017 reappear in ISIC 2018's training
+  split** — train 1800/2000, validation 121/150, test 529/600.
+- ISIC 2018's own validation/test splits share **zero** IDs with ISIC 2017.
+- Consequence: a model trained on ISIC 2018 Task 1 training data has already
+  seen 650 of the 750 ISIC 2017 validation+test images. Filter on
+  `in_isic2018_train` (or use `isic_2017_2018_split_ids.json` at the repo root)
+  before treating the two datasets as independent benchmarks.
+- Filename-level matching is a **lower bound**: pixel-level near-duplicates
+  (rescaled/re-encoded variants) exist across ISIC editions and against ISIC
+  2016 — see Cassidy et al., *Medical Image Analysis* 75:102305 (2022),
+  https://github.com/mmu-dermatology-research/isic_duplicate_removal_strategy.
+
+## Provenance
+
+Official author-hosted S3 bucket
+(`https://isic-archive.s3.amazonaws.com/challenges/2017/`), zips verified
+byte-exact against Content-Length; image/mask counts match the challenge paper
+(2000/150/600). Original encoded bytes are embedded unmodified.
+
+## License
+
+**CC-0 (public domain)**, per the 2017 section of the
+[ISIC Challenge data page](https://challenge.isic-archive.com/data/).
+
+## Citation
+
+```bibtex
+@inproceedings{codella2018skin,
+  title     = {Skin lesion analysis toward melanoma detection: A challenge at
+               the 2017 International Symposium on Biomedical Imaging (ISBI),
+               hosted by the International Skin Imaging Collaboration (ISIC)},
+  author    = {Codella, Noel C. F. and Gutman, David and Celebi, M. Emre and
+               Helba, Brian and Marchetti, Michael A. and Dusza, Stephen W. and
+               Kalloo, Aadi and Liopyris, Konstantinos and Mishra, Nabin and
+               Kittler, Harald and Halpern, Allan},
+  booktitle = {2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI)},
+  pages     = {168--172},
+  year      = {2018},
+  doi       = {10.1109/ISBI.2018.8363547}
+}
+```