A collection of panoramic dental X-ray images and corresponding binary masks for semantic segmentation of teeth. The dataset is designed for training U-Net architectures to perform one-shot image analysis for identifying dental structures and disorders.
Use Cases
- Train a U-Net model to perform automatic semantic segmentation using the panoramic X-ray images and binary masks
- Develop binary image analysis pipelines to extract diagnostic information for dental disorders
- Benchmark deep learning architectures for dental structure identification in one-shot panoramic scans
Strengths
- Includes panoramic X-ray images of human teeth
- Contains binary masks for semantic segmentation tasks
- Supports one-shot image analysis for dental disease management