I have some issue with the accuracy of image classification.
For the Face-Recongnition which I found at here:
I have train my own set of data out. Using me and my friends face, however when there is 2 or more people in the data set it only shows two result only. I check with my classification model before merging (detection and classify) it works perfectly fine.
But when I merge it with the detection model, the accurately drop significantly. In digits, it is still able to show the result but not the same as the classification model. When I deploy it out, it only shows two results only. Below is an example to elaborate my case.
I train person A, B, C and D faces, for classification model it is able to accurately differentiate who is who. However, when I merge it with facial detection. Once it detect the face, it only shows person A or B results only even when it detect person C or D.