YOLO v26 vs YOLO v11 vs RT-DETR | Real-Time Object Detection Performance Comparison скачать в хорошем качестве

YOLO v26 vs YOLO v11 vs RT-DETR | Real-Time Object Detection Performance Comparison

In this video, we deep dive into the latest YOLO v26 object detection model released by Ultralytics. We explain the key architectural enhancements in YOLO v26, including the removal of Distribution Focal Loss, native end-to-end NMS-free inference, and optimizations specifically designed for edge devices and CPU-based inference. We compare YOLO v26 vs YOLO v11 and also benchmark it against transformer-based models like RT-DETR to analyze accuracy, inference speed, post-processing time, and real-world performance on crowded scenes and small object detection. You will see practical demonstrations, confidence score comparisons, and real-time video inference tests to understand where YOLO v26 excels and its trade-offs. Resources: Notebook: https://github.com/Labellerr/Hands-On... #YOLOv26 #yolo #Ultralytics #ObjectDetection #ComputerVision #EdgeAI #realtimedetection #DeepLearning #AI #MachineLearning #YOLOComparison #rtdetr #yolov11 #visionai #aimodels #EdgeDevices #ModelBenchmark #InferenceSpeed #NMSFree #aiengineering