Image classification is a useful task in many areas.
Currently, there exists a few systems that can do image classification, for example Google's Vision API or Amazon's Rekoginition, which tend to be for more general object recognition and labelling.
My plan is to create a generalized image classification solution to automatically generate models with the input dataset with minimal user interaction.
The system should also allow the user to create expandable models, where the number of classes is not known at the moment of that the model is created.
Therefore, the system should allow the user to create models that can expand and reduce.
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There currently exist systems that do image classification, like Google Vision AI, and Amazon's Rekoginition.
Their tools, while providing similar services to what my project is supposed to do, it mostly focusses on general image classification rather than specific image classification, i.e. Car vs Boat, vs, Car model X vs Car model Y.