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.

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.

The code pattern “Create a real-time object detection app using Watson Machine Learning” was built with the expectation that the developer would have zero machine learning experience.