Keras implementation of the renowned publication "DeepFace: Closing the Gap to Human-Level Performance in Face Verification" by Taigman et al. Pre-trained weights on VGGFace2 dataset.
You should evaluate DeepFace model on LFW data set and share its accuracy on read me page. The original DeepFace study got 97.35% accuracy but your model trained on different data set. It might have different accuracy level.
Similarly, David Sandberg reimplemented Google FaceNet model and evaluate his model on LFW data set as well. He got 0.99650+-0.00252 accuracy whereas original Google FaceNet study got 99.63%.
Hi,
You should evaluate DeepFace model on LFW data set and share its accuracy on read me page. The original DeepFace study got 97.35% accuracy but your model trained on different data set. It might have different accuracy level.
Similarly, David Sandberg reimplemented Google FaceNet model and evaluate his model on LFW data set as well. He got 0.99650+-0.00252 accuracy whereas original Google FaceNet study got 99.63%.
This will show how your model robust indeed.
Regards.