Dataset · Hugging Face

MedOtter/STS-2D-Tooth

Name: STS-2D-Tooth
Creator: MedOtter
License: cc-by-4.0
Keywords: task_categories:image-segmentation, license:cc-by-4.0, size_categories:1K<n<10K, format:parquet, format:optimized-parquet, modality:image, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2407.13246, region:us, medical-imaging, dental

STS-2D-Tooth The 2D panoramic dental X-ray subset of the STS (Semi-supervised Teeth Segmentation) multi-modal dataset, as released in Wang et al., Scientific Data 12, 117 (2025) and used in the MICCAI 2023 STS Challenge. Composition 4,000 panoramic X-ray images (PNG, 640x320, 3-channel grayscale-as-RGB) split across two demographic subsets: Subset Total Labeled Unlabeled A-PXI (adult) 3,500 850 2,650 C-PXI (child) 500 50 450 Total 4,000 900 3,100… See the full description on the dataset page: https://huggingface.co/datasets/MedOtter/STS-2D-Tooth.

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Author / organization	MedOtter
License (as declared)	cc-by-4.0
Downloads	158 (as reported by Hugging Face)
Likes	2
Created	5 May 2026
Last updated at source	5 May 2026

medical-imagingdentalpanoramic-x-raytooth-segmentationsemi-supervised

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