OpenML allows fine-grained search over thousands of machine learning datasets. Via the website, you can filter by many dataset properties, such as size, type, format, and many more. Via the APIs you have access to many more filters, and you can download a complete table with statistics of all datasest. Via the APIs you can also load datasets directly into your preferred data structures. We are also working on better organization of all datasets by topic.

Datasets provide training data for machine learning models. OpenML datasets are uniformly formatted and come with rich meta-data to allow automated processing. You can sort or filter them by a range of different properties.

This registry exists to help people discover and share datasets that are available via AWS resources. Here you will find any datasets of these groups: Allen Institute for Artificial Intelligence (AI2), Digital Earth Africa, Data for Good at Meta, NASA Space Act Agreement, NIH STRIDES, NOAA Open Data Dissemination Program, Space Telescope Science Institute, and Amazon Sustainability Data Initiative.

Welcome to our Datasets database, where you will find hundreds of datasets from various categories such as computer vision, audio, NLP, and more.

All datasets are free and ready for use on our platform for all your projects. Browse through our categories and find the perfect dataset to fit your needs. Get started today and experience the power of data.

These datasets are used in machine learning research and have been cited in peer-reviewed academic journals. 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.