Published February 3, 2025 | Version v2
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Annotated intraoral image dataset for dental caries detection

Authors/Creators

  • 1. ROR icon Aga Khan University
  • 2. Dow University of Health Sciences

Description

This dataset contains 6,313 images with corresponding annotations in YOLO, COCO, Pascal VOC, and LabelMe formats for object detection of dental decays in primary and secondary dentition. The dataset is designed to support research and development in automated dental diagnosis, providing a diverse set of annotated images for training and evaluation of deep learning models.

Annotations:

YOLO format (TXT)
COCO format (JSON)
Pascal VOC format (XML)
LabelMe format (JSON)
Task: Object detection

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