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yolov7

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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 YOLOv7, YOLOv8, and YOLOv9, offering flexibility and high accuracy in various scenarios.

  • Updated May 31, 2024
  • Python

The project aims to develop a robust Pothole Detection System that can analyze video data from car dash cams in real-time, identify potholes accurately, and generate comprehensive reports containing images and geospatial coordinates of the detected potholes. This system will enhance road safety and also contribute to proactive road maintenance.

  • Updated Feb 3, 2024
  • JavaScript

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