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fruit-detection

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🖥️ Explore 20 hands-on experiments to master RISC-V computer architecture concepts using the Ripes simulator for effective learning.

  • Updated Jan 3, 2026
  • Assembly

This project demonstrates how to train a YOLOv8 object detection model to detect various types of fruits. The process involves loading a pre-trained YOLOv8 model, training it on a custom dataset of fruits, evaluating its performance, and running inference on sample images.

  • Updated Aug 21, 2025
  • Jupyter Notebook

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