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Fruit Multiclass Detection

Details: this model will be built using traditional machine learning, with an effort to identify whether there exists a certain fruit in a given image (object detection). This project will be written using a tensor library called CuPy, which is a library that mirrors the NumPy API but with GPU acceleration. Expect to write backpropagation, gradient descent, MLPs, and CNNs from scratch.

Team size: 3

Progression:

  • learning how autograd works
  • implementing an autograd library
  • writing a simple MLP
  • creating a simple Linear layer
  • creating Sequential, Conv2D, MaxPool2D, etc.

Technologies: CuPy/NumPy, Python

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fruit multiclass detection for UBC Agrobot 2025-2026

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  • Python 98.2%
  • Makefile 1.8%