X-ray Bone Fracture Dataset: Comprehensive Imaging for Fracture Classification and Medical Research

Augmented Images: 6,311. Total Images: 7,522. Comminuted Fracture: Sourced from both hospital records and web-based images (approximately one-tenth from online sources).

Original Images: 1,173. Augmented Images: 7,366. Total Images: 8,539.

Key Features: Number of Original Images: 2,384. Number of Augmented Images: 13,677. Total Dataset Size: 16,061 images (Original + Augmented).

File Formats: JPG, PNG. Augmentation Techniques: Zoom: Randomized scaling for varied focus. Rotation: ±30° rotations to simulate diverse imaging angles.

Brightness and Contrast Adjustments: Range between 80%–120%. Flips: Vertical and horizontal flips for spatial diversity. Applications: Medical Imaging: Train and evaluate machine learning models for fracture classification, detection, and segmentation.

Healthcare Technology: Support development of diagnostic tools and real-time fracture detection systems in clinical and mobile applications. Medical Research: Enhance understanding of fracture patterns, contributing to advancements in diagnostic and therapeutic techniques. Dataset Collection: Simple Fracture Images: Exclusively sourced from hospitals, ensuring high clinical accuracy and relevance.

Comminuted Fracture Images: A blend of hospital and web sources, providing diverse imaging conditions and perspectives. Realistic Scenarios: Simulates real-world clinical settings with varied lighting, orientations, and imaging environments, offering robust data for training and testing.