IBM has released a new free tool designed to help developers cut the chore of labeling images in video when training AI object-detection models. The new auto-labeling tool is part of IBM's push to ...

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-labeling ...

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 ...

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 ...

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.

The abstract of this patent indicates that Hikvision's research team has developed a new method for updating object detection networks, involving the use of visible light image samples, thermal ...

Meta has released a new artificial intelligence model that can pick out individual objects in images, presenting a big step forward in image recognition. The Segment Anything Model (SAM) can "cut out" ...