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.
Cotton Disease Prediction using Deep Learning
In this dataset we are provided with images that belong to 4 classes : diseased leaf , diseased plant , fresh leaf and fresh plant. The objective of this study is to create a CNN model to help us predict whether these image of the leaf/plant belong to the diseased category or the healthy category.
Deploying a Cotton Plant Disease Classification Flask application Using DenseNet121
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