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Releases: rinnegannn/ObjectDetector

Object Detection App v1.0.0 – Initial Release

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@rinnegannn rinnegannn released this 19 Sep 01:48
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Object Detection App v1.0.0 – Initial Release

Description

This is the first official release of the Object Detection App, a web-based application that identifies and labels over 50 fruits and vegetables in real-time. Built using a custom YOLOv8 model with Python and web technologies, this release demonstrates practical applications of computer vision in automated and interactive systems.

Key Features in v1.0

  • Real-time detection of fruits and vegetables
  • Custom YOLOv8 model for high accuracy
  • Labels objects in uploaded images and displays results visually
  • Outputs detection data in JSON format for further analysis
  • User-friendly web interface for easy interaction
  • Modular Python code for easy extension and integration

This release provides a foundation for further enhancements, such as adding more object classes, integrating with mechanical systems, or improving detection speed and accuracy.