Six members of Facebook AI Research (FAIR) tapped the popular Transformer neural network architecture to create end-to-end object detection AI, an approach they claim streamlines the creation of ...

“Traditional object detection algorithms (YOLOv5, MobileNet SSD) are bad at this type of problem (similar-sized objects, lots of very small objects) so he designed a custom architecture that ...

Real-time object detection, which uses neural networks and deep learning to rapidly identify and tag objects of interest in a video feed, is a handy feature with great hacker potential. Happily, it… ...

Of the different detection techniques mentioned in Figure 1, we decided to choose the Single Shot multibox Detector (SSD) optimized for Intel architecture [2].Researchers say that it has promising ...