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Welcome to the wiki of this project. This worked on this project as a part of our final year Capstone Project. Our goal was to develop a fruit image classifier that can detect fresh and rotten fruits to help the fruit shops, department stores and super shops alike.
So far we've developed both binary and multi class image classifiers. We're also developing mobile applications to embed the trained models as prototypes so we can get more feedback about the accuracy and also improve the models through training.
Multiclass image classification model code was borrowed from the examples of official Tensorflow repos and tweaked according to the inputs of our project. Binary Classifier code was written following the examples of Keras blog. All the references are on the reference section of the wiki.
This was recorded during the initial days of our work but will give you some insight into the goal of the project. https://youtu.be/b0BpKgHbKpI