1.28M training images, 50K validation images across 1,000 object classes. The standard benchmark for image classification since 2012.
Top 1 Accuracy is the reported evaluation metric for ImageNet-1K. Codesota tracks published model scores on this metric so readers can compare state-of-the-art results across sources and model families.
Higher is better
Muted rows were not state of the art when published — an earlier or same-year result already scored better.