Image Classification

Categorizing images into predefined classes (ImageNet, CIFAR).

Benchmarks & Datasets

1.28M training images, 50K validation images across 1,000 object classes. The standard benchmark for image classification since 2012.

10K new test images following ImageNet collection process. Tests model generalization beyond the original test set.

60K 32x32 color images in 10 classes. Classic small-scale image classification benchmark with 50K training and 10K test images.

60K 32x32 color images in 100 fine-grained classes grouped into 20 superclasses. More challenging than CIFAR-10.