yolov10
YOLOv10 advances real-time object detection by improving architectural efficiency and eliminating NMS, offering a balanced design for speed and accuracy. This PyTorch implementation notably outperforms previous models, enhancing performance while reducing computational demands, ideal for applications demanding swift, efficient detection.
