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 ...

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 ...

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 ...

The Company intends to utilize its newly enhanced models to power new threat detection solutions ... utilizes advanced machine learning (ML) models for small object detection and data reporting ...

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. ML.NET ...

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 ...

A University of Cincinnati study found machine learning models can aid in the automation and detection of abnormal brain activity sometimes referred to as a "brain tsunami." UC's Jed Hartings ...