Dataset · Hugging Face

hcarrion/D-Synth

Name: D-Synth
Creator: hcarrion
License: cc-by-nc-4.0
Keywords: task_categories:depth-estimation, task_categories:image-to-image, language:en, license:cc-by-nc-4.0, size_categories:1K<n<10K, format:imagefolder, modality:image, library:datasets, library:mlcroissant, arxiv:2607.13010, region:us, dermatology, medical-imaging, 3d-reconstruction, synthetic-data

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… See the full description on the dataset page: https://huggingface.co/datasets/hcarrion/D-Synth.

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Author / organization	hcarrion
License (as declared)	cc-by-nc-4.0
Downloads	1.1K (as reported by Hugging Face)
Likes	0
Created	24 May 2026
Last updated at source	15 July 2026

dermatologymedical-imaging3d-reconstructionsynthetic-dataskin-lesion

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DermDepth: Toward Monocular Metric Scale 3D Reconstruction Models for DermatologyPaper · cites

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DermDepth: Toward Monocular Metric Scale 3D Reconstruction Models for DermatologyPaper

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