Explore high-quality datasets for your AI and machine learning projects.
In this study, we used the "Odontoai" dataset to train and improve a YOLOv8‑seg model for efficient segmentation of dental radiographs. The dataset includes 52 distinct tooth categories (e.g., tooth‑11 to tooth‑85), with each image annotated by professional dentists. Standardized and verified annotations ensure high accuracy and consistency. The images cover diverse angles, lighting conditions, and backgrounds, enhancing model generalization. This high‑quality dataset enables the YOLOv8‑seg model to accurately identify and segment various tooth structures, supporting advanced dental diagnostics.
