Discover published sets by community

A dataset of handwritten digits used for image processing and machine learning, ideal for training and testing models on tasks like image classification.

A dataset consisting of 60,000 32x32 color images in 10 different classes, used for computer vision tasks such as object recognition.

A large visual dataset designed for use in visual object recognition software research, with more than 14 million images and thousands of categories.

A dataset containing 50,000 movie reviews for natural language processing or sentiment analysis, divided evenly into positive and negative reviews.

A collection of databases, domain theories, and data generators widely used by the machine learning community for empirical analysis of machine learning algorithms.

A large-scale dataset for object detection, segmentation, and captioning, containing over 200,000 labeled images across 80 categories.

A database designed for studying the problem of unconstrained face recognition with more than 13,000 images of faces collected from the web.

A collection of approximately 20,000 newsgroup documents, partitioned across 20 different newsgroups, suitable for text classification and clustering.

A dataset containing information about different houses in Boston areas, used for regression analysis to predict housing prices.

A dataset with over 20,000 images of 120 breeds of dogs from around the world, which is used for fine-grained image classification.

A dataset of 1,000 hours of English speech derived from audiobooks, allowing for training and evaluating speech recognition systems.

A dataset consisting of user reviews for businesses across 11 metropolitan areas on Yelp, useful for sentiment analysis and recommendation systems.

A large-scale dataset for multiple computer vision tasks such as object detection, segmentation, and captioning. Similar to the COCO dataset but often updated with new data and annotations.

A dataset with millions of annotated images for a broad range of categories, useful for machine learning models requiring large scale visual recognition.