4 datasets found

The VideoLT dataset contains 1,004 classes and about 256,218 untrimmed videos collected from YouTube, covering a wide range of human activities, including everyday life,...

The ACE dataset is a large-scale dataset for image classification and object detection.

The iNaturalist2018 dataset is the largest dataset for long-tailed visual recognition.

The dataset is a benchmark for self-supervised learning on long-tailed data. It contains 115.8K images with 1000 categories, ranging from 1,280 to 5 in terms of class cardinality.