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yolov10

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From dataset https://universe.roboflow.com/roboflow-100/bone-fracture-7fylg a model is obtained, based on yolov10, with that custom dataset, to indicate fractures in x-rays. The project uses 5 cascade models, if one does not detect fracture it is passed to another

  • Updated Aug 11, 2024
  • Python

This project uses YOLO models for efficient object detection with a Streamlit interface. Users can upload images or video streams for real-time detection. It supports YOLOv8, YOLOv9, and YOLOv10; offering flexibility and high accuracy in various scenarios.

  • Updated Jun 24, 2024
  • Python

Real-time object detection in images and videos using YOLOv10 trained on Coco. Features automatic and manual model selection, annotated outputs, and easy API integration. Built primarily on Python, Flask, Tkinker, and Streamlit. Supports 243 languages for educating the masses through objects.

  • Updated Aug 16, 2024
  • Python

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