Annotated Knee X-Ray Images for Osteoporosis Detection

SUDHIR KUMAR SANGULA's dataset contains annotated knee X-ray images prepared for training YOLO-based deep learning models. The collection is hosted on figshare and was last updated in March 2026. The dataset is relatively small, with a total size of 2.9 MB.

Use Cases

• Train YOLO models to detect osteoporosis indicators from annotated knee X-ray images.
• Validate object detection model performance on a medical imaging task using bounding box annotations.
• Fine-tune pre-trained YOLO architectures for a specific medical condition using the provided image-label pairs.

Strengths

• Images are annotated specifically for YOLO-based model training.
• Dataset has a clear, permissive license (CC-BY-4.0).
• Includes multiple file formats (JPG, TXT, YAML) for different pipeline stages.

Limitations

• Small dataset size (2.9 MB) limits its use for training large models from scratch.
• Unknown number of images and annotations prevents assessment of sample size.
• Potential for class imbalance or geographic bias is unverified.

Provenance

Source

figshare, author SUDHIR KUMAR SANGULA.

Collection Method

Prepared using the Roboflow platform.

Freshness

Last updated March 2026.