manwaarkhd/aariz
A Benchmark Dataset for Automatic Cephalometric Landmark Detection and CVM Stage Classification
This project provides a comprehensive collection of 1000 expertly annotated lateral cephalometric X-rays. It offers detailed markings for 29 key anatomical landmarks and classifications of Cervical Vertebral Maturation (CVM) stages. Orthodontists, oral and maxillofacial surgeons, and researchers studying dental and facial development can use this resource to train and evaluate AI models for automated diagnosis and treatment planning.
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Use this if you need a diverse and high-quality dataset of X-ray images for developing or testing automated tools that identify specific points on the skull and assess bone maturity.
Not ideal if you require a dataset of other imaging modalities like MRI or CT, or if your focus is on dental conditions not visible in cephalometric X-rays.
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29
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4
Language
Python
License
MIT
Category
Last pushed
Aug 06, 2025
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