10 platforms with free datasets for AI and machine learning
To train artificial intelligence, machine learning, and data analysis models, developers need large sets of information—datasets. They are used to train algorithms, test hypotheses, create AI products, and work on educational projects.
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The text describes platforms for finding datasets: Kaggle, Hugging Face Datasets, Google Dataset Search, UCI Machine Learning Repository, OpenML, Google Research Datasets, World Bank Open Data, Our World in Data, AWS Registry of Open Data, and Data.gov. Each platform is designed for specific tasks in the field of machine learning, data analysis, or government research. It is indicated that materials are available for download and use in projects.
Such data can be found not only independently but also on specialized platforms.
One of the popular platforms for Data Science and machine learning specialists. It hosts thousands of datasets on various topics: from finance and medicine to computer vision and natural language processing.
Users can download datasets, analyze them, share their own materials, and participate in machine learning competitions. The platform also offers ready-made code examples and educational resources.
Best for: educational projects, data analysis, machine learning, and computer vision.
A platform with open datasets for developing and training artificial intelligence models. The library includes text, audio, and visual data, as well as materials for machine translation, speech recognition, and natural language processing.
Users can browse datasets, study their characteristics, and download data for their own projects. Many datasets offer a preview directly on the website.
Best for: developing language models, chatbots, speech recognition systems, and image recognition.
Google's search engine for finding datasets from various open sources. It allows users to find datasets by keywords, topics, and other parameters.
The service does not store all found materials itself but directs users to the websites where the original data is published. This is convenient if a developer needs a dataset on a specific topic and does not know which platform to search on.
Best for: finding scientific, government, financial, and research data.
UCI Machine Learning Repository
The University of California, Irvine repository, which hosts datasets for research and training machine learning algorithms.
The library presents data for classification, prediction, and regression tasks. Topics include medicine, economics, education, biology, and social research.
The platform is particularly useful for students and beginners who want to learn machine learning using ready-made examples.
Best for: training ML algorithms, research, and university projects.
An open platform for collaboration among machine learning specialists. It combines datasets, algorithms, and experiment results that users can share with the research community.
On the site, you can search for datasets, compare results from different models, and use ready-made materials for your own experiments.
Best for: testing algorithms, research, and comparing machine learning models.
Google publishes open datasets used in scientific research and technology development. The library includes materials for working with text, images, audio, video, and robotics.
Each dataset is accompanied by a description and information about its purpose. This allows developers and researchers to find data for specific tasks.
Best for: AI research, computer vision, robotics, and data processing.
The World Bank's open database with statistics by country and region. Here you can find information about the economy, population, education, healthcare, employment, and infrastructure development.
Data is available for download and can be used in analytical projects, forecasting, and model training.
Best for: economic analytics, forecasting, and projects using social and demographic data.
A platform with open data and research on global issues and societal development. It publishes statistics on climate, energy, technology, healthcare, population, and the economy.
Many datasets are available in CSV format, making them suitable for analysis, visualization, and developing custom models.
Best for: analyzing global trends, working with statistics, and socio-economic forecasting.
Amazon Web Services repository hosting large open datasets stored in the AWS cloud infrastructure.
Here you can find information on climate, space, biology, satellite imagery, and other scientific fields. The platform allows working with large volumes of data without downloading all files to your own device.
Best for: large-scale AI projects, big data analysis, climate research, and computer vision.
The official US government open data portal. It hosts information sets from government agencies and organizations.
The catalog includes data on transportation, energy, environment, healthcare, economy, and other sectors. Materials are available for analysis and use in research projects, subject to the terms of specific datasets.
Best for: analytics, forecasting, research, and projects using government data.
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