17/09/2020.

Suppose you want to teach a concept to someone: a possible way, instead of trying to provide a formal definition (which can be hard to provide or ineffective to communicate), is to give examples and counterexamples.

Basically, this is the approach adopted by supervised machine learning; based on the complexity of the objects to be classified, the number of examples can be very high and, in general, the choice of the number of examples from the different classes that must be managed is not simple. So producing a good dataset for training supervised machine learning models is difficult and time consuming.

Read our new article by National Institute for Astrophysics for NEANIAS at Tackling the lack of annotated data in machine learning based computer vision.