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YOLOv10

YOLOv10 is a real-time end-to-end object detection tool that improves upon previous YOLO versions through NMS-free training and a comprehensive architectural design to enhance efficiency and accuracy. It offers state-of-the-art performance across various model sizes and is implemented in PyTorch.

Key Information

  • Category: Vision Models
  • Source: Github
  • Tags: Python
  • Last updated: January 09, 2026

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Canonical source: https://github.com/THU-MIG/yolov10

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