Vision Language Models can now run on low-cost edge hardware like the RUBIK Pi 3. With its accelerators, it can handle a VLM ...
The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the ...
Weed control is essential in apple orchards because weeds compete with trees for nutrients, water and sunlight, which can ...
Meta's new image segmentation models can identify objects and people and reconstruct them in 3D - SiliconANGLE ...
AI detects objects in images by using computer vision techniques that analyze the visual features of an image. The process typically involves using a convolutional neural network (CNN) to identify ...
Kyocera has announced the development of a triple-lens, AI-powered high-resolution depth sensor that’s been designed to ...
Researchers at the University of Windsor developed SH17, a large open-source dataset with 8,099 images and 75,994 labeled ...
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 ...