ImageNet-LT

ImageNet Long-Tailed

Unknown

ImageNet Long-Tailed is a subset of /dataset/imagenet dataset consisting of 115.8K images from 1000 categories, with maximally 1280 images per class and minimally 5 images per class. The additional classes of images in ImageNet-2010 are used as the open set.

Source: Large-Scale Long-Tailed Recognition in an Open World

Benchmarks

Conditional Image Generation/FID Few-Shot Image Classification/Top-1 Accuracy Generalized Few-Shot Classification/Top-1 Accuracy Generalized Few-Shot Learning/Top-1 Accuracy Image Classification/Top-1 Accuracy Image Generation/FID Long-tail Learning/Top-1 Accuracy

Related Benchmarks

ImageNet-LT-d/Few-Shot Image Classification/Per-Class Accuracy ImageNet-LT-d/Generalized Few-Shot Classification/Per-Class Accuracy ImageNet-LT-d/Generalized Few-Shot Learning/Per-Class Accuracy ImageNet-LT-d/Image Classification/Per-Class Accuracy ImageNet-LT-d/Long-tail Learning/Per-Class Accuracy