ImageNet-LT

ImageNet Long-Tailed

Introduced in Large-Scale Long-Tailed Recognition in an Open World

About this Dataset

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

Dataset Variants

ImageNet-LTImageNet-LT-d

Papers1

Large-Scale Long-Tailed Recognition in an Open World

An integrated OLTR algorithm is developed that maps an image to a feature space such that visual concepts can easily relate to each other based on a learned metric that respects the closed-world classification while acknowledging the novelty of the open world.

Dataset Loaders

EDIT

🔥

tensorflow/datasets

tfpytorchjax

Tasks

EDIT

Long-tail Learning Conditional Image Generation Long-tail learning with class descriptors Test Agnostic Long-Tailed Learning

Similar Datasets