/Cotton-Disease-Prediction-web_app-Transfer-learning

Using transfer learning to predict if there exists a cotton disease in the plant or not. The best were the inceptionv3 model and the ResNet50 model and then finally made a model for the web using flask for an end-to-end deployment of this project.

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Cotton-Disease-Prediction

Used 2 models for predicting whether, if the cotton plant has a disease or not, using the inceptionv3 model and the ResNet50 model.

We see that the inceptionv3 is better in terms of validation accuracy eventhough it has 2 million less params then the ResNet50 application of transfer learning.

A web app has been also created for deploying the model on.

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