yolor
The project uses an advanced framework to enhance real-time object detection across different tasks. By integrating models like YOLOR-CSP, YOLOR-CSP-X, and YOLOR-P6, the project shows significant improvements in Average Precision metrics on COCO datasets. It employs innovative features, offering enhanced processing speed and accuracy, making it a valuable tool for researchers and developers.