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 ...

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

Use cases for object detection include: Self-driving cars Robotics Face detection Workplace safety Object counting Activity recognition The new ability to locally train custom image classification ...

Arm Ltd., the U.K. chip intellectual property vendor, is rolling out a machine learning platform designed to boost the functionality of devices at the network edge, beginning with an object detection ...

More recent models such as YOLO (You Only Look Once) use single-shot detection to provide near real-time object detection. But their memory requirements are still large.