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 ...

Meta's new image segmentation models can identify objects and people and reconstruct them in 3D - SiliconANGLE ...