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yolov8

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Welcome to the Fruit Ripeness and Disease Detection System! This application utilizes advanced YOLOV8 models to detect various fruits and diagnose diseases in bananas, mangoes, and pomegranates. Built with Flask, the web application allows users to either upload images for analysis or use a live video feed for real-time detection.

  • Updated Aug 7, 2024
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"Number of People in a Room" is a computer vision project that utilizes the Flask framework, OpenCV library, and YOLO object detection to count and monitor people in a space. It aids in crowd management, occupancy monitoring, and optimizing resource allocation for improved safety and efficiency.

  • Updated Jun 27, 2023
  • HTML

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