Description: Python is a versatile programming language widely used in AI and machine learning.
Reasoning: I chose Python because of its strong community support and the vast number of libraries available for machine learning and image processing.
Description: PyTorch is an open-source deep learning framework developed by Facebook’s AI Research lab.
Reasoning: PyTorch’s dynamic computation graph and strong support for GPU acceleration make it ideal for building and training neural networks efficiently.
Description: YOLOv5 is an advanced object detection algorithm that improves upon previous versions of the YOLO (You Only Look Once) series. It offers high accuracy and speed in detecting objects within images.
Reasoning: YOLOv5 was chosen for its fast performance in object detection, its efficiency in real-time applications, and its flexibility in handling various image sizes and detection tasks. Its ability to integrate well with PyTorch and its community support make it a good choice for detecting fractures in X-ray images.