Dental Radiography
This dataset contains 1,272 dental x-ray images with metadata structured in 24 columns, organized into Train, Test, and Validation games. This data is adapted to train medical image analysis models.
1,272 dental x-ray images, 24 metadata columns, adapted formats CNN, Yolo, SSD
CC BY-SA 4.0
Description
The dataset Dental Radiography includes 1,272 dental x-ray images with 24 columns of metadata. Organized in three parts (Train, Test, Validation), it is used to train models for the classification or detection of dental anomalies via CNNs or object models such as Yolo or SSD.
What is this dataset for?
- Automating the diagnosis of dental images in offices or hospitals
- Support for the training of students in dentistry
- Validation of dental insurance claims using AI
- Dental telemedicine for remote areas
- Research on dental health and the evolution of pathologies
Can it be enriched or improved?
This dataset can be completed with detailed pathology annotations or additional clinical information. The integration of multi-modal data would enhance its usefulness for advanced models.
🔎 In summary
🧠 Recommended for
- Medical AI researchers
- AI dental developers
- Training institutions
🔧 Compatible tools
- TensorFlow
- PyTorch
- Keras
- OpenCV
- Yolo
- SSD
💡 Tip
Respect the Train/Test/Validation partitions to accurately assess your models.
Frequently Asked Questions
Does this dataset contain accurate annotations on dental pathologies?
No, annotations are limited to 24 general metadata columns. It is recommended to add specific labels for advanced use.
Can I use this dataset for commercial purposes?
Yes, subject to compliance with the CC BY-SA 4.0 license (attribution and sharing in the same way).
Is this dataset suitable for fine-tuning?
Yes, particularly suitable for fine-tuning CNN models or object detectors on dental x-ray images.
