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# Deep-CNN-Face-Recognition-App
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# Deep CNN Face Recognition App
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This project trains deep learning models on databases with human faces to be recognized. These models are afterwards converted in a lite format and implemented on Android to measure accuracy and time
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<br />
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<br />
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# Project Structure
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## Android
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- Contains the Android application used for facial recognition
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- Created with Android Studio
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- Ability to choose deep learning model and face database to test from a list
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- Select photo from gallery or take one with the camera
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- Measure accuracy and time
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## Python
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- Contains .ipynb script used on Google Colab to train models
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- Contains archive with the face databases used
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<br />
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# Deep learning models used
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- [MobileNet](https://arxiv.org/abs/1704.04861)
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- [EffNet](https://arxiv.org/abs/1801.06434)
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- [L-CNN](https://github.com/radu-dogaru/LightWeight_Binary_CNN_and_ELM_Keras)
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# Face databases used
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- [Essex](https://cswww.essex.ac.uk/mv/allfaces/)
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- [Jaffe](https://zenodo.org/record/3451524)
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- [ORL](http://cam-orl.co.uk/facedatabase.html)

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