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A deep convolutional neural network to classify healthy and sick plant leaf species. The final peak accuracy was of around 91.2% on the test set. For full details, please refer to the project report inside the repository.

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plantvillage_an2dl

A deep convolutional neural network to classify healthy and sick plant leaf species

The goal of this project is to classify images of leafs (like the ones in the example image below), which are divided into categories according to the species of the plant to which they belong. Being a classification problem, given an image, the goal is to predict the correct class label.

Image

You can find the full description of the problem and the approach to it in the project report!

The partial dataset used for training (due to time optimization) and validation can be found here

If you are interested in the full PlantVillage dataset instead, find it here

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A deep convolutional neural network to classify healthy and sick plant leaf species. The final peak accuracy was of around 91.2% on the test set. For full details, please refer to the project report inside the repository.

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