Machine learning (ML) can be a powerful addition to your Android projects. It helps you create apps that intelligently identify text, faces, objects, famous landmarks, and much more, and use that ...

The dominant framework inputs one or two groups of images manually annotated with pixel-level and category labels (i.e. Apple and Horse), and then uses these supervisory signals to train a model in a ...

Researchers have developed a new high-speed way to detect the location, size and category of multiple objects without acquiring images or requiring complex scene reconstruction. Because the new ...

Teaching machine learning tools to detect specific objects in a specific image and discount others is a 'game-changer' that could lead to advancements in cancer detection, according to researchers.

AI detects objects in images by using computer vision techniques that analyze the visual features of an image. The process typically involves using a convolutional neural network (CNN) to identify ...

Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing ...

Researchers at the Indian Institute of Science (IISc) have pioneered a solution for AI training in Mixed Reality (MR) industrial applications. Overcoming the challenge of extensive image dataset ...

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 ...