Creators of the system say it also achieves faster performance when used with CPUs or GPUs than other popular objection detection models like YOLO or AmoebaNet. When tasked with semantic ...

The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the ...

Named Detection Transformer (DETR), the model can recognize objects in an image in a single pass all at once. DETR is the first object detection framework to successfully integrate the Transformer ...

The upgrade gives Atlas the ability to understand its environment with precision, enabling it to perform complex tasks in ...

A new machine learning technique developed by researchers at Edge Impulse, a platform for creating ML models for the edge, makes it possible to run real-time object detection on devices with very ...

SafePro’s latest generation of small object detection models include one of the largest and widest arrays of labeled imagery of landmines, unexploded ordnance (UXO) and explosive remnants of war ...