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An object recognition system, trained on the CIFAR-100 dataset, that uses many AI technologies, mainly HAAR detection, CNN and residual networks, transfer learning ...

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Schrodingdong/Object-recognition-system

 
 

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ABOUT THIS PROJECT

This AI project is about object recognition. The system is capable to detect and classify 100 object classes of the CIFAR-100 dataset. Many technologies have been used, from AI implementation in python to web application using flask. The app.py is the main script of this system, executing it will localy host the server, making it accessible to anyone in your LAN.

HOW TO USE IT

The website is quite simple and straightforward : you upload an image, and the system will detect potential objects within the image, and then classify them. There is also a sidebar where useful links related to that object will show up.

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An object recognition system, trained on the CIFAR-100 dataset, that uses many AI technologies, mainly HAAR detection, CNN and residual networks, transfer learning ...

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