List of datasets for machine learning research

These datasets are used for machine learning research and have been cited in peer-reviewed academic journals and other publications. Datasets are an integral part of the field of machine learning. Major advances in this field can result from advances in learning algorithms (such as deep learning), computer hardware, and, less-intuitively, the availability of high-quality training datasets. High-quality labeled training datasets for supervised and semi-supervised machine learning algorithms are usually difficult and expensive to produce because of the large amount of time needed to label the data. Although they do not need to be labeled, high-quality datasets for unsupervised learning can also be difficult and costly to produce. This list aggregates high-quality datasets that have been shown to be of value to the machine learning research community from multiple different data repositories to provide greater coverage of the topic than is otherwise available.

Datasets consisting primarily of images or videos for tasks such as object detection, facial recognition, and multi-label classification.

In computer vision, face images have been used extensively to develop face recognition systems, face detection, and many other projects that use images of faces.

Images, text

Datasets consisting primarily of text for tasks such as natural language processing, sentiment analysis, translation, and cluster analysis.

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