Project Summary:
- Achieved accuracy of 99% in classifying satellite images for detecting presence of invasive plant species in over a dozen different countries
- Achieved the accuracy in spite of small size of the dataset available by fine tuning the hyper-parameters of the Convolutional neural nets.
- Frameworks: Tensorflow, Keras, scikit-learn, numpy