Published February 7, 2025 | Version v1
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Annotated intraoral image dataset for dental caries detection

Authors/Creators

  • 1. ROR icon Aga Khan University

Contributors

Data collector (2):

  • 1. ROR icon Aga Khan University

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

Files

Benchmarking Dataset.zip

Files (3.1 GB)

Name Size
md5:852520f16faf65f4704ee06bd82561fa
1.6 GB Preview Download
md5:a56d8d3964bb2352d5ebb706c7a763dc
4.1 kB Preview Download
md5:89307871ac2f08f4a8f3a7da1f18db31
1.6 GB Preview Download

Additional details

Funding

FDI World Dental Federation

Software

Repository URL
https://medentec.com