We tried with our company employees (Asian faces) but sometimes the distance between 2 different faces are quite low (below 0.3), we can easily separate them with eyes but looks the face-api pre-trained model could not separate them apart, we tried some western faces and it can work well. So I am thinking if there are not so many Asian face samples in the training dataset so it may not perform very well towards them? If I have some Asian face dataset and want to train a new model, would you please advice how should I do the retrain? Thanks.
We tried with our company employees (Asian faces) but sometimes the distance between 2 different faces are quite low (below 0.3), we can easily separate them with eyes but looks the face-api pre-trained model could not separate them apart, we tried some western faces and it can work well. So I am thinking if there are not so many Asian face samples in the training dataset so it may not perform very well towards them? If I have some Asian face dataset and want to train a new model, would you please advice how should I do the retrain? Thanks.