YOLOv7: Trainable Bag-of-Freebies for Real-Time Detection
Learn how YOLOv7 improved real-time object detection through E-ELAN, model re-parameterization, dynamic label assignment, and efficient training strategies.
YOLOv6: Efficient Object Detection for Industrial Applications
Explore YOLOv6, a deployment-focused object detector designed for high-speed inference, efficient architecture, and real-world industrial applications.
YOLOv5: Fast and Practical Object Detection
Discover YOLOv5, a popular PyTorch-based object detection model designed for fast training, easy deployment, and efficient real-time detection.
YOLOv4: High-Speed and Accurate Object Detection
Explore YOLOv4 and learn how advanced training techniques, CSPDarknet53, and improved detection strategies deliver fast and accurate object detection.
YOLOv3: Improved Multi-Scale Object Detection
Learn how YOLOv3 improved real-time object detection with Darknet-53, multi-scale predictions, and better performance on small objects.
YOLOv2: Faster and More Accurate Object Detection
Explore YOLOv2, also known as YOLO9000, and learn how anchor boxes, batch normalization, multi-scale training, and improved detection techniques enhanced YOLO.