This project was developed from Center for Artificial Intelligence at KKU, Link.
Dataset can be downloaded from here.
- Masks Data collection.
- Face detection while mask on face.
- Train DL model to classify mask vs. non-mask.
- Face recogntion:
- Data collection for human faces "kown names" with and without mask
- Face recogntion
- Real time test with huge dataset
- Report observations
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Most of the code parts here have been used in this PAPER. If you are using our code, cite our paper.
@misc{https://doi.org/10.48550/arxiv.2205.07203,
doi = {10.48550/ARXIV.2205.07203},
url = {https://arxiv.org/abs/2205.07203},
author = {Mohana, Mohamed and B, Prasanalakshmi and Alelyani, Salem and Alsaqer, Mohammed Saleh},
keywords = {Computer Vision and Pattern Recognition (cs.CV), FOS: Computer and information sciences, FOS: Computer and information sciences},
title = {Fused Deep Neural Network based Transfer Learning in Occluded Face Classification and Person re-Identification},
publisher = {arXiv},
year = {2022},
copyright = {arXiv.org perpetual, non-exclusive license}
}