Researchers have designed an intelligent household robot capable of autonomous navigation, object detection, and sorting.

A new report assembles guidance on the testing and evaluation of machine-learning models for aerial object detection.

In point of fact, when “leading” object-detection models were tested on ObjectNet, their accuracy rates fell from a high of 97% on the publicly available ImageNet corpus to just 50% to 55% ...