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obejct-detection

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The project implements a YOLOv8 model to detect forensic evidence, including Blood, Handguns, Illegal Substances, Rifles, and Knives, from digital electronic devices (media). It aids investigators by speeding up forensic analysis and ensuring high accuracy along with maintaining integrity during crime investigations.

  • Updated Sep 18, 2024
  • Jupyter Notebook

This project is a real-time potato defect detection system using YOLOv8 and FastAPI. It processes base64 images, detects good and defective potatoes with separate models, tracks them using ByteTrack, maps defects by proximity, filters edge cases, calculates areas in mm², and returns detailed results via a REST API.

  • Updated May 8, 2025
  • Python

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