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 ...

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 ...

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 ...

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

Data analysis revealed a highly balanced distribution across species categories, and bounding box annotations showed minimal ...