One of the biggest myths about AI is that you need to have a large amount of data to obtain sufficient accuracy — and the rapid development of Big Data analytics seems to prove this intuition. It is true, that deep learning methods require model training on a huge number of labeled images. However, in image classification even a small collection of training images may produce a reasonable accuracy rate…

