ImageNet
lastmod 2018-08-17created 2015-10-196 edits
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. Currently we have an average of over five hundred images per node. We hope ImageNet will become a useful resource for researchers, educators, students and all of you who share our passion for pictures.
Download API
This page provides various resources to help you use ImageNet.
Access synset pages
Given the wnid of a synset, its ImageNet page is at
Access the list of synsets available
You can use the following API to obtain a list of all synsets available
Access (image names, image URLs) mapping by synset ID
If you download the original images of a synset from a tar file, you may want to know the original image URLs given the image names. You can obtain the mapping between image names and image URLs through
The image list file has the following format. 1
An example list is shown below.
n00004475_6590 http://farm4.static.flickr.com/3175/2737866473_7958dc8760.jpg
n00004475_15899 http://farm4.static.flickr.com/3276/2875184020_9944005d0d.jpg
n00004475_32312 http://farm3.static.flickr.com/2531/4094333885_e8462a8338.jpg
n00004475_35466 http://farm4.static.flickr.com/3289/2809605169_8efe2b8f27.jpg
n00004475_39382 http://2.bp.blogspot.com/_SrRTF97Kbfo/SUqT9y-qTVI/AAAAAAAABmg/saRXhruwS6M/s400/bARADEI.jpg
n00004475_41022 http://fortunaweb.com.ar/wp-content/uploads/2009/10/Caroline-Atkinson-FMI.jpg
n00004475_42770 http://farm4.static.flickr.com/3488/4051378654_238ca94313.jpg
n00004475_54295 http://farm4.static.flickr.com/3368/3198142470_6eb0be5f32.jpg
n00005787_13 http://www.powercai.net/Photo/UploadPhotos/200503/20050307172201492.jpg
n00005787_32 http://www.web07.cn/uploads/Photo/c101122/12Z3Y54RZ-22027.jpg
...
Obtain the words of a synset
Given the wnid of a synset, the words of the synset can be obtained at
You can also Click Here to download the mapping between WordNet ID and words for all synsets, Click Here to download the mapping between WordNet ID and glosses for all synsets.
ImageNet Large-Scale Visual Recognition Challenge
It can be reached via ILSVRC.
See also
Favorite site
- ImageNet: Download Image URLs
- Download the Object Bounding Boxes
- Github - ImageNet_Utils project site: Utils to help download images by id, crop bounding box, label images, etc
References
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\trepresents the tab character. ↩