Solution includes powerful features, such as object detection model training, offline models and an improved image labeling tool ...

Developers building machine learning or object detection models have to manually label hundreds to thousands of images to train them. To make the task easier, IBM has introduced a new auto ...

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 ...

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.

An overview of deep learning architectures that help computers detect objects, a key technology used in self-driving cars and healthcare.

However, Meta is moving out of the conventional method of AI detection, as its new AI, Segment Anything, can detect never-seen-before objects in images.

They took images of real objects – such as parts of a pneumatic cylinder – and blended them with different background scenes where object detection has previously struggled.