A transfer learning based model for fruit classifier. The model used here is previously trained on ImageNet and its weights are used to train the current dataset of vegetables and fruits. The dataset consists of 33 different categories of fruits ad vegetables. The model here used is GoogLeNet architecture, also known as InceptionNet.

I also tried to make the web app for the same. I completed the UI, the only part left is integrating the model with it.

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