Data & Datasets

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CIFAR-10

CIFAR-10 is a labeled dataset of 60,000 small color images sorted into 10 mutually exclusive object categories, with 6,000 images per class, used as a standard benchmark for image classification.

AI BenchmarksComputer Vision

Ego-Exo4D

Ego-Exo4D is a large-scale, multimodal, multiview video dataset and benchmark suite for computer vision research on skilled human activity, a central resource in egocentric vision.

Computer VisionMeta AI

Ego4D

Ego4D is a large-scale egocentric (first-person) video dataset and benchmark suite for computer vision, assembled by Meta AI (then Facebook AI Research) together with a consortium of 13 universities and labs…

Computer VisionMeta AI

MNIST

The Modified National Institute of Standards and Technology (MNIST) database is a collection of 70,000 grayscale images of handwritten digits (0 through 9) that has served as one of the most widely used…

Computer VisionMachine Learning

PASCAL VOC

PASCAL VOC (Pattern Analysis, Statistical Modelling and Computational Learning Visual Object Classes) is a long-running benchmark dataset and annual challenge for object recognition, object detection…

AI BenchmarksComputer Vision

Project Aria

Project Aria is an egocentric data-collection research program run by Meta's Reality Labs Research. It was announced on September 16, 2020 .

Computer VisionMeta AI