This robot inspects objects from different angles to classify them with a high degree of accuracy in real world scenarios.
Object recognition is a critical piece of many machine learning applications. Whether the goal is to create an autonomous car, a warehouse robot, or a package delivery drone, in each case, the devices must be capable of recognizing the objects that are around them. There are many proven models that classify a wide range of objects with a high degree of accuracy; however, these models do not always perform as expected under real world scenarios.