Bone Fracture Detection: Computer Vision Project

ABOUT DATASETS

This is a big collection of X-ray images created to help detect bone fractures using computer vision. The main aim of this dataset is to assist in making and testing programs that automatically spot fractures.

The dataset has pictures sorted into different groups, each showing a different kind of bone fracture. These groups include fractures like Elbow, Fingers, Forearm, Humerus, Shoulder, and Wrist.

Every picture in the dataset is marked with either boxes around the fractures or colored areas covering the fractures. This helps in training and testing algorithms that detect bone fractures.

The dataset is helpful for researchers and developers who want to teach machine learning models to find and classify bone fractures in X-ray images. It’s especially useful for creating programs that automatically spot fractures. The dataset includes many types of fractures, which helps in building strong models that can accurately find fractures in different parts of the upper body.

We made this dataset to speed up the development of computer programs that can detect fractures automatically. This will help improve medical diagnosis and take better care of patients.