The image dataset for new algorithms is organised according to the WordNet hierarchy, in which each node of the hierarchy is depicted by hundreds and thousands of images.
Downloading datasets isn’t instant though, you’ll have to register on the site, hover over the ‘download’ menu dropdown, then select ‘original images’. Provided you’re using the datasets for educational/personal use, you can submit for access to download the original images.
ImageNet is also currently running a competition on Kaggle — check it out here.
Welcome to the ImageNet project! ImageNet is an ongoing research effort to provide researchers around the world an easily accessible image database. On this page, you will find some useful information about the database, the ImageNet community, and the background of this project. Please feel free to contact us if you have comments or questions. We’d love to hear from researchers on ideas to improve ImageNet.
What is ImageNet?
ImageNet is an image dataset organized according to the WordNet hierarchy. Each meaningful concept in WordNet, possibly described by multiple words or word phrases, is called a “synonym set” or “synset”. There are more than 100,000 synsets in WordNet, majority of them are nouns (80,000+). In ImageNet, we aim to provide on average 1000 images to illustrate each synset. Images of each concept are quality-controlled and human-annotated. In its completion, we hope ImageNet will offer tens of millions of cleanly sorted images for most of the concepts in the WordNet hierarchy.