Facebook AI researchers claim they created the first object detection model with the Transformer neural network architecture typically used for NLP.

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 ...

In high-risk industry work scenarios, automatic hard hat recognition systems are crucial for ensuring worker safety. However, the issue of false detection has become a 'stumbling block' affecting ...

The ROVR Open Dataset offers a new lens into human-scale navigation and environmental awareness, bridging the gap between ...

However, Meta is moving out of the conventional method of AI detection, as its new AI, Segment Anything, can detect never-seen-before objects in images.

An overview of deep learning architectures that help computers detect objects, a key technology used in self-driving cars and healthcare.

Learn to build a real-time sign language detection system with AI, using DETR for accessibility and innovation. Bridging ...

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.