How do machines find objects?
An introduction to Machine Learning Computer Vision.
The difference between how machines “see” and identify objects compared to humans may not be so obvious. We are able to instantly identify any object we see and sometimes even objects we’ve never seen before, because we are using our memories and collective experiences. Without conscious thought, we create a complex web of connections between any new object we see and through the process of comparison we can approximate its purpose. Sometimes we even can correctly guess the name of this object. Even with incredibly fast GPU’s, improved algorithms and an unbelievably huge amount of collected data, machines are not yet able to do this. That’s because it’s still extremely difficult for machines to think outside of the box.
This article is for those who would like a fundamental understanding of how object detection works in Machine Learning. This guide will not introduce any complicated neural networks computations nor use sophisticated terminology and formulas.
