ImageNet Roulette went viral on Twitter for allowing people to upload their selfies and then have an AI try and guess what kind of person they are.

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.

The flaws of ImageNet: ImageNet, which Li created, has been criticized for being biased and containing unsafe or harmful photos, which in turn lead to biases and harmful outcomes in AI systems.