Here you can find a lot of deep learning resources. Datasets for face recognition are: CMU PIE Database 10k US Adult Faces Database The AR Face Database, The Ohio State University …. You will find much more. solved Which models of face recognition deep learning?
This is a very large question. And a hard task. I think, the easy way is to extract one frame by second if the source is a video stream. Then use OpenCV to make a face detection. Once you got the faces, feed a NN for recognitions. Some links for face recognition in Deep Learning: … Read more
An inability to overfit may be caused by a lack of network capacity or a bug in your code itself. Are you training the model from scratch? Did you write the model yourself? Are you working on a task at a similar scale to Imagenet classification? Plateauing of a loss is to be expecting during … Read more
The keyword is “multilabel classification“. In the output layer you have multiple neurons, each neuron representing one of your classes. Now you should use a binary classification for each neuron independently. So if you have 3 classes, the output of your network could be [0.1, 0.8, 0.99] which means the following: The first class is … Read more
As with many domains of computer vision recently, deep learning is not needed to perform the task but does outperform non-DL based methods. There is lots of prior work that uses other techniques, for example SVMs, to perform facial expression recognition. However if we look at more recent work like the FERA 2017 competition, for … Read more