[R] Building a neural network for recognition • /r/MachineLearning

Are you just trying to identify (classify) one of your 50 individuals from a new photo, or are you specifically looking to create an embedding representation that can be used to differentiate individuals not in your training set? For classification purposes that might be enough data (esp. For an embedding to differentiate arbitrary individuals not in the training set, I think you'd need a lot more data. It's a bit of an apples and oranges comparison since different models are trained on different datasets, but nonetheless note the significant gain in accuracy of DeepFace and VGGFace over OpenFace, despite having slightly fewer individuals in the training set... it seems that it's the number of photos (as well as model differences) that's making the difference, and maybe that 0.6M (600,000) photos just isn't enough for this domain.