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.

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.

China has taken over the final ImageNet, an influential AI contest that gave birth to the current deep learning craze back in 2012.