Teeth3DS (Teeth3DS: a benchmark for teeth segmentation and labeling from intra-oral 3D scans)

Introduced by Ben-Hamadou et al. in Teeth3DS: a benchmark for teeth segmentation and labeling from intra-oral 3D scans

Teeth3DS is the first public benchmark which has been created in the frame of the 3DTeethSeg 2022 MICCAI challenge to boost the research field and inspire the 3D vision research community to work on intra-oral 3D scans analysis such as teeth identification, segmentation, labeling, 3D modeling, and 3D reconstruction. Teeth3DS is made of 1800 intra-oral scans (23999 annotated teeth) collected from 900 patients covering the upper and lower jaws separately, acquired and validated by orthodontists/dental surgeons with more than 5 years of professional experience.

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