9 datasets found

A novel benchmark for multi-label image classification in medical imaging, combining new classes and domains into a challenging scenario.

A large-scale benchmark archive for remote sensing image classification and retrieval.

The TreeSatAI dataset used in this paper for multi-label tree species classification.

The dataset used in this paper for multi-label remote sensing image classification.

BigEarthNet-S2 is a large-scale benchmark archive for remote sensing image classification and retrieval.

The Open Images dataset is a large-scale image dataset with a wide range of images, including but not limited to, street scenes, indoor scenes, and outdoor scenes.

A multi-label dataset for charge prediction, consisting of an extensive collection of over 1.68 million legal cases.

The dataset used in the paper is a multi-view clustering dataset, which contains 6 views of 30000 samples each. The dataset is used to evaluate the performance of the proposed...

Large scale datasets [18, 17, 27, 6] boosted text conditional image generation quality. However, in some domains it could be difficult to make such datasets and usually it could...