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 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.

In addition to image classification, ML.NET is used for sentiment analysis, customer segmentation, sales spike detection, product recommendation, object detection and several other machine learning ...