Object detection and recognition are an integral part of computer vision systems. In computer vision, the work begins with a breakdown of the scene into components that a computer can see and analyse.

Digital systems are expected to navigate real-world environments, understand multimedia content, and make high-stakes ...

Just making a small tweak to algorithms typically used to enhance images could dramatically boost computer vision recognition capabilities ... Figure 1: Self-driving cars could benefit from enhanced ...

This article is part of our coverage of the latest in AI research. A new machine learning technique developed by researchers at Edge Impulse, a platform for creating ML models for the edge, makes ...

At the Google Cloud Next conference, Google introduced a new computer ... AI Vision is an extension of AutoML Vision that can train models to perform image classification and object detection.

Selecting the right edge device for real-time AI-powered vision is a critical decision ... Nano Super provide more insights into their object detection capabilities, setup processes, and potential ...

Learn More Six members of Facebook AI Research (FAIR) tapped the popular Transformer neural network architecture to create end-to-end object detection ... revolutionize computer vision as they ...