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 ...

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

FOMO is a deep learning object detection model that weighs less than 200 kilobytes.

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 ...

The ROVR Open Dataset enables researchers, developers, and institutions to train, benchmark, and deploy next-generation AI ...

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

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.