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.

Microsoft shipped ML.NET 3.0, enhancing deep learning and data processing scenarios in the company's machine language framework that lets devs create AI-infused apps completely within the .NET ...

Microsoft in May announced Object Detection in ML.NET Model Builder. These capabilities are built on top of TorchSharp-powered Object Detection APIs introduced in ML.NET 3.0.

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