Add dataset card

README.md

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+---
+license: cc-by-nc-4.0
+task_categories:
+  - depth-estimation
+  - image-to-image
+language:
+  - en
+tags:
+  - dermatology
+  - medical-imaging
+  - 3d-reconstruction
+  - synthetic-data
+  - skin-lesion
+  - depth-estimation
+size_categories:
+  - 1K<n<10K
+---
+
+# D-Synth: Synthetic Dermoscopic Dataset with Pixel-Perfect 3D Information
+
+D-Synth is the first synthetic dermoscopic dataset providing pixel-perfect 3D ground truth (metric depth, surface normals, camera intrinsics) for monocular depth estimation in dermatology. Introduced in DermDepth (Carrión & Norouzi, MICCAI 2026).
+
+## Overview
+
+- **3,170 rendered dermoscopic samples** at 12–20 mm capture distance, 75° field of view
+- Per-sample assets (inside `sample_XXXXXX/`):
+  - `image.png` — RGB rendering
+  - `depth.png` — pixel-perfect metric depth map
+  - `meta.json` — camera intrinsics and other metadata
+  - `generation_params.json` — full rendering parameters
+  - (subset) `render_rgb.png`, `render_depth.png`, `render_meta.json` — additional render variants
+
+## Generation pipeline
+
+D-Synth extends [S-SYNTH](https://github.com/DIDSR/ssynth-release) (Kim et al., MICCAI 2024) with:
+- Per-pixel metric depth export
+- Surface normal map export
+- Camera intrinsics export
+- Multiple camera angles
+- Multiple lesions per scene
+
+It inherits S-SYNTH's anatomically-grounded realism stack:
+- Probabilistic lesion growth models
+- Layered melanosome / blood / lipid models across epidermis / dermis / hypodermis
+- Physics-based light scatter across wavelengths and skin tones
+
+## Citation
+
+If you use D-Synth, please cite both DermDepth and the underlying S-SYNTH framework:
+
+```bibtex
+@inproceedings{carrion2026dermdepth,
+  title     = {DermDepth: Toward Monocular Metric Scale 3D Reconstruction Models for Dermatology},
+  author    = {Carri{\'o}n, H{\'e}ctor and Norouzi, Narges},
+  booktitle = {Medical Image Computing and Computer-Assisted Intervention (MICCAI)},
+  year      = {2026}
+}
+
+@inproceedings{kim2024ssynth,
+  title     = {S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images},
+  author    = {Kim, Andrea and others},
+  booktitle = {Medical Image Computing and Computer-Assisted Intervention (MICCAI)},
+  year      = {2024}
+}
+```
+
+## License
+
+CC BY-NC 4.0 (research / non-commercial use). For other uses, please contact the authors.
+
+## Related Resources
+
+- **Code & training scripts**: https://github.com/hectorcarrion/dermdepth
+- **Fine-tuned DermDepth checkpoints**: https://huggingface.co/hcarrion/DermDepth
+- **Base depth model**: https://huggingface.co/Ruicheng/moge-2-vitl-normal