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Flower-Classification

A proof of concept application built with help from Andrew Zisserman and Oxford University’s Visual Geometry Group. The application allows a user to take a photo of a flower, and uses computer vision and machine learning algorithms to automatically classify the species of the flower.

The application can identify 102 common flower species with a practical accuracy of 96%.

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  • Python 29.9%
  • JavaScript 19.2%
  • MATLAB 12.9%
  • Cuda 12.1%
  • C++ 10.2%
  • TeX 8.1%
  • Other 7.6%