The MobilenetV3 model is used for object detection which then are classified into human and non-human types. A face detection algorithm is used to recognize human faces. The distance measurement ...

One such task involves the design and evaluation for a subsystem of the perception system for object detection ... of a machine learning pipeline emphasizing the inclusion of assurance methods with ...

A new machine learning technique developed by ... we see in the market today,” Jongboom says. Earlier object detection ML models had to process the input image several times to locate the ...

This repository contains an Android library which enables FTC teams to use machine learning in their OpModes. Specifically, this library makes it possible to use neural networks to do object detection ...

The object detection ... suppression to process the information. Bypassing these steps enables DETR to be more efficient than traditional models. AI everywhere, but optimized for different ...

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 ...

Teaching machine learning tools to detect specific objects in a specific image and discount others is a 'game-changer' that could lead to advancements in cancer detection, according to researchers.

In order to process all of this ... the first tool based on machine learning algorithms to extract ground deformation from InSAR data, which enables the detection of ground deformation ...