8 datasets found

MEKA is a multi-label/multi-target extension to Weka.

scikit-multilearn is a Python library for performing multi-label classification. The library is compatible with the scikit/scipy ecosystem and uses sparse matrices for all...

MULAN is a Java library for multi-label learning.

Multi-label classification deals with the problem where each instance is associated with multiple class labels.

The authors used two tabular datasets, Adult and Credit, that are ubiquitous in fairness literature, and transformed them into multi-label settings.

Sewer-ML is a multi-label sewer defect classification dataset and benchmark.

CUB-200 is a fine-grained image classification dataset containing high resolution images of 200 different bird species.

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...