Machine strengths. Machine learning already does much better on simple images that only have one thing in the frame. "The systems are getting to be as good as an untrained human," Platt claims.

Learning from Data: AI image recognition systems rely on vast datasets of images to "learn" how to identify objects and improve accuracy through training and retraining processes.

This essay on the lessons we learned about deep learning systems and gender recognition is one part of a three-part examination of issues relating to machine vision technology. See also: Interactive: ...

In Optica Quantum, Okinawa Institute of Science and Technology (OIST) researchers propose the first practical application of ...

Image processing is used in a variety of use cases today, including visualisation, pattern recognition, segmentation, image information extraction, classification, and many others. Image processing ...

Image recognition is the reference of machine vision, is the ability of software to identify objects, peoples, places, actions and writing in images. Deep learning is the core field of machine ...

An AI image generator is essentially a tool that uses machine learning to create art. In its simplest form, it will use text prompts to describe the type of art you want to create, and then it'll ...

Advanced capabilities for image retrieval and processing are relatively new and powered to a large extent by advances in machine learning technology. We present a brief history of this space, and ...