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Intraoral 3D scans analysis is a fundamental aspect of Computer-AidedDentistry (CAD) systems, playing a crucial role in various dental applications,including teeth segmentation, detection, labeling, and dental landmarkidentification. Accurate analysis of 3D dental scans is essential fororthodontic and prosthetic treatment planning, as it enables automatedprocessing and reduces the need for manual adjustments by dental professionals.However, developing robust automated tools for these tasks remains asignificant challenge due to the limited availability of high-quality publicdatasets and benchmarks. This article introduces Teeth3DS+, the firstcomprehensive public benchmark designed to advance the field of intraoral 3Dscan analysis. Developed as part of the 3DTeethSeg 2022 and 3DTeethLand 2024MICCAI challenges, Teeth3DS+ aims to drive research in teeth identification,segmentation, labeling, 3D modeling, and dental landmarks identification. Thedataset includes at least 1,800 intraoral scans (containing 23,999 annotatedteeth) collected from 900 patients, covering both upper and lower jawsseparately. All data have been acquired and validated by experiencedorthodontists and dental surgeons with over five years of expertise. Detailedinstructions for accessing the dataset are available athttps://crns-smartvision.github.io/teeth3ds

Teeth3DS+: An Extended Benchmark for Intraoral 3D Scans Analysis