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. It was introduced in DermDepth: Toward Monocular Metric Scale 3D Reconstruction Models for Dermatology (Carrión & Norouzi, MICCAI 2026). Project Page / GitHub Paper 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 Sample Usage You can download the dataset locally using the Hugging Face CLI: Or programmatically via Python: Generation pipeline D Synth extends S SYNTH (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: P…
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