Image Recognition is a complex field generally restricted to experienced data scientists with in-depth knowledge of Deep Learning. There exist many tutorials on digit recognition (MNIST) or how to classify whether an image is a dog or a cat. Such tutorials use exclusively Tensorflow, Theanos, Caffe, Keras and other similar Deep Learning frameworks. Some explain how to train the machine from scratch and some explain how to re-train the machine. In this article we will show that the same methodology can be applied without needing to use Deep Learning, but through more classic Machine Learning tools like PredicSis.ai.