datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
STS-3D-Tooth
STS-3D-Tooth
The 3D Cone-Beam CT (CBCT) subset of the STS (Semi-supervised Teeth
Segmentation) multi-modal dental dataset, as released in
Wang et al., Scientific Data 12, 117 (2025)
and used in the MICCAI 2023/2024 STS Challenges.
The companion 2D panoramic X-ray subset is hosted at
Angelou0516/STS-2D-Tooth.
Dataset Summary
Field
Details
Modality
Cone-Beam CT (CBCT), NIfTI (.nii.gz)
Body Part
Teeth (32 permanent teeth, FDI numbering)
Volumes
371… See the full description on the dataset page: https://huggingface.co/datasets/MedOtter/STS-3D-Tooth.STS-2D-Tooth
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.part4-put_toothpaste_on_toothbrushThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "hand",
"total_episodes": 1928,
"total_frames": 1276148,
"total_tasks": 7,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:1928"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/gsethia08/part4-put_toothpaste_on_toothbrush.panoramic_x-ray_tooth_v2panoramic_x-ray_tooth