ImageNet

About
A well-known large-scale image classification dataset with between 1000 and 20000 class labels and multiple million images.
Preprocessing description:
See the Deng et al, CVPR 2009 paper for details
Does this dataset contain sensitive information?:
Out of the 1000 class labels in the ILSVRC dataset, 3 involve people. As ImageNet became more widely used, researchers became aware of issues related to fairness, representation, and offensive vocabulary for the images and annotations in these 3 categories. The ImageNet team at Princeton and Stanford are working on modifying the original ImageNet dataset to address these issues. For additional information see https://image-net.org/update-mar-11-2021.php and https://image-net.org/update-sep-17-2019.php
Subject Area
Computer Science
Instances
14,000,000
Features
–
Data Types
Image
Tasks
Classification
Feature Types
–
Features
–
Introductory Paper
ImageNet: A Large-Scale Hierarchical Image Database
Deng, J. and Dong, W. and Socher, R. and Li, L.-J. and Li, K. and Fei-Fei, L.. 2009.
CVPR