Microsoft improved the object detection capabilities of its ML.NET machine learning framework for .NET developers ... [Click on image for larger, animated GIF view.] Model Builder in Animated Action ...

Object detection is a supervised machine learning problem, which means you must train your models on labeled examples. Each image in the training dataset must be accompanied with a file that ...

Supported by the hyper scale of the Amazon Web Services (AWS) cloud, this robust dataset enables the patented SpotlightAI™ ecosystem to rapidly detect ... machine learning (ML) models for small ...

Twitch is furthering its efforts to reduce harassment with a new tool that uses machine learning to detect people who may ... the monitoring (as shown in the GIF below), or ban them.

Might satellites bolstered with machine ... to detect floating objects from space. The NIR signals of various floating objects vary. Using the satellite data, researchers trained a machine ...

A new machine learning technique developed by researchers at Edge Impulse, a platform for creating ML models for the edge, makes it possible to run real-time object detection on devices with very ...

New adversarial techniques developed by engineers can make objects 'invisible' to image detection ... learning" are finding and documenting vulnerabilities in deep- and other machine-learning ...

Google's new TensorFlow object detection API is designed to make ... like smartphones. Simplifying machine learning models is proving to be essential for advancing API and machine learning ...

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 ...