Train YOLOv10 on Custom Dataset
15.4 هزار بار بازدید -
3 ماه پیش
-
Learn to perform custom object
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
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
3 ماه پیش
در تاریخ 1403/03/06 منتشر شده
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