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

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 ...

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

Researchers at Microsoft and Huazhong University open-sourced an AI model -- FairMOT -- that can track multiple objects with state-of-the-art performance.

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.

In brief: Thanks to machine learning, object detection has come a long way in recent years, but most models still perform best on low-resolution video images. Now, researchers at Carnegie Mellon ...