ImageNet is an image database organized according to the WordNet hierarchy (currently only the nouns), in which each node of the hierarchy is depicted by hundreds and thousands of images.

Sep 17, 2019 · 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 …

For access to the full ImageNet dataset and other commonly used subsets, please login or request access. In doing so, you will need to agree to our terms of access.

Please refer to the individual challenge webpages for information about the most successful entries, and to the ImageNet publications page for a complete list of publications.

Mar 11, 2021 · Meanwhile, the computer vision community has progressed, and so has ImageNet. The dataset was created to benchmark object recognition—at a time when it barely worked.

We introduce here a new database called “ImageNet”, a large-scale ontology of images built upon the backbone of the WordNet structure. ImageNet aims to populate the majority of the 80,000 synsets of …

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Dec 17, 2014 · September 2, 2014: A new paper which describes the collection of the ImageNet Large Scale Visual Recognition Challenge dataset, analyzes the results of the past five years of the …

How to download the bounding boxes? We have not yet released the bounding boxes for all synsets. To check the list of synsets with bounding boxes, please use the API: …

Jul 26, 2017 · The training data, the subset of ImageNet containing the 1000 categories and 1.2 million images, will be packaged for easy downloading. The validation and test data for this competition are …