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 ...

Real-time object detection, which uses neural networks and deep learning to rapidly identify and tag objects of interest in a video feed, is a handy feature with great hacker potential. Happily, it… ...

FOMO is a deep learning object detection model that weighs less than 200 kilobytes. Skip to content. ... For example, YOLOv5 recommends more than 10,000 training instances per object class.

Fig. 1: DETR transformer model compares its prediction with the ground truth. When there is no match, it would yield a “no object.” A match would validate an object. Source: “End-to-End Object ...

Meta unveils AI model for object detection and largest dataset of its kind. According to a recent blog post by Meta's research division, the company has developed an advanced object recognition ...