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 ...

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 ...

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 ...

Meta's Segment Anything Model allows for more accurate and efficient identification and labeling within visual media, which some have labeled a "groundbreaking" advancement.