The abstract of this patent indicates that Hikvision's research team has developed a new method for updating object detection networks, involving the use of visible light image samples, thermal ...

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 ...

FOMO is a deep learning object detection model that weighs less than 200 kilobytes.

Facebook AI researchers claim they created the first object detection model with the Transformer neural network architecture typically used for NLP.

Microsoft improved the object detection capabilities of its ML.NET machine learning framework for .NET developers, adding the ability to train custom models with Model Builder in Visual Studio.

New YOLOcF fruit detector improves yield prediction & harvesting automation. It’s faster & needs less processing power than ...