[D] video data in image classification

Let's say your training a simple CNN for a classification problem. An example would be a model that is supposed to decide if a person is male or female based on facial images.

What is your experience regarding image sequences from videos in the training datasets?

My intuition is, that the added information to the dataset from one video isn't proportional to the number of frames. The network probably can't learn much more from 30 frames with little variation in …

classification cnn data datasets example experience image images information intuition machinelearning person simple training video video data videos