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Deep-Learning-Leaf-Classification

In this project, we create a variety of deep learning models in an effort to predict the species of different leaves.
In our Keras models, we use both (pre-extracted) structured and unstructured image data in order to build a good classifier. The data can be found on Kaggle: https://www.kaggle.com/c/leaf-classification/overview Our best model achieves perfect accuracy for the test data (on Kaggle).

We build:

  • A fully connected Neural Network and use grid-search to optimize the hyperparameters.
  • A Convolutional Neural Network with varying degrees of image augmentation.
  • Transfer Learning with VGG and varying degrees of image augmentation.
  • A merged Network that uses both the structured and unstructured data.
  • A function that asks for human input in cases where the Neural Network is uncertain about a classification.

Should you have any questions or suggestions, do not hesitate to contact me!

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Building and comparing a variety of Deep Learning Models for Leaf Species Classification

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