The ImageNet classes are arranged in a ``densely populated semantic hierarchy", has more accurate labels (average 99.7 99.7 precision on randomly sampled 80 synsets), and is more diverse than ...

MIT researchers say the influential ImageNet data set has "systematic annotation issues" when used as a benchmark for evaluating object recognition models.

Researchers say they've found evidence of pervasive bias in computer vision algorithms trained on ImageNet, a popular photo dataset.

Researcher Fei-Fei Li’s ImageNet project provided the feedstock for the deep learning boom that brought the world ChatGPT and other world-changing AI systems.

The Chinese government recently said it would invest heavily in artificial intelligence to ensure its companies, government and military dominate the field by 2030. Now there's growing evidence that ...