Image recognition software is a powerful tool that helps computers "see" and understand pictures, just like humans do. It uses artificial intelligence (AI) to identify objects, faces, text, or ...

The application, made in June 2007, was published on Thursday and covers "methods, systems and apparatus including computer program products for using extracted image text," according to Google.

Here is an interesting conundrum for Google: it has created an algorithm that's significantly better at reading street numbers in Street View images, which helps it give you more accurate directions.

It involves analyzing visual data—such as photographs or video frames—using machine learning algorithms to recognize objects, people, text, places, and actions within those images.

Facebook is opening-sourcing its AI image recognition software, which can detect and label objects in photos, and its related research papers. Skip to main content Menu ...

Algorithms that were right 95 percent of the time when they were dealing with a 13,000-image database, for example, were accurate about 70 percent of the time when confronted with 1 million images.

The nation's top-level intelligence office, the Director of National Intelligence, wants to find "the most accurate unconstrained face recognition algorithm.". A branch of the office, which ...

Researchers developed an algorithm that scans for faces, but also biases. After testing, it was able to reduce 'categorical bias' by over 60 percent, while performance remained consistent.

Yet as the debate heats up over facial recognition’s role in public safety, our research and others’ show how even with mistake-free software, this technology will likely contribute to ...