Скачать с ютуб Train YOLOv10 on Custom Dataset в хорошем качестве

Train YOLOv10 on Custom Dataset

Learn to perform custom object detection using YOLOv10. GitHub: https://github.com/AarohiSingla/YOLOv... Dataset: Dataset is also present in GitHub repo. What is introduced in YOLOv10 :    • Learn What Is Introduced in YOLOv10  ...   Email: [email protected] YOLOv10: Real-Time End-to-End Object Detection Paper: https://arxiv.org/pdf/2405.14458 YOLOv10, developed by researchers at Tsinghua University introduces a novel approach to real-time object detection. This version addresses deficiencies in both post-processing and model architecture found in earlier YOLO versions. By removing non-maximum suppression (NMS) and optimizing various model components, YOLOv10 achieves state-of-the-art performance with significantly reduced computational overhead. Extensive experiments show its superior accuracy-latency trade-offs across multiple model scales. #computervision #objectdetection #yolov9 #yolov8 #yolov10