An algorithm like YOLO(you only look once) learns the features of objects in image. For example: colors,countours/shape of the object etc. According to me, extraction of these features is the process of obtaining the feature vector from fully connected layers (for whatever reasons like feeding it to the LSTM, comparing feaetures for structural similarity etc)