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Fun and easy way to get started with machine learning and computer vision projects. This is an object detection project using Haar Cascade algorithm in OpenCV.

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roboteur/computer-vision-part-01

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Machine Learning / Computer Vision Part 1

  • These are OpenCV (Haar Cascade Algorithm) experiments with the intention to deploy it on the smallest device possible such as Pi Zero W.

SETUP

  1. Download Anaconda for Python 3.X
  2. Launch Jupyter Notebook

CONTENT

I. Cat Face and Human Face Recognition

  • These are pre-trained models from OpenCV.

II. Lemon Recognition

  • These are customed models based on Kaggle's Fruit360 dataset.

III. Tomato Recognition

  • These are custom models and the images used are from real tomatoes bought in the market. The images are formatted to fit the requirement of the model.

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Fun and easy way to get started with machine learning and computer vision projects. This is an object detection project using Haar Cascade algorithm in OpenCV.

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