Vision At Large: large scale data collection for computer vision research

Project summary:

Annotations collected: ~25000
Annotation costs: ~$800
See 9 different interfaces we've created.
NEW Check out our annotation tool .

How does it work?

1) Money -> Amazon
2) Images -> Amazon Mechanical Turk -> People -> Annotations
3) Accept annotations
4) Amazon pays people

Recent results:

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DateContentResultsDataProtocol
23 june 2008Bounding box and joint locations in 2000+ Flickr imagesDisplaydata v9
26 march 2008Joint locations for 337 frames sampled from: Weizman activity dataset, 2 Discraft youtube videos, UIUC dataset, LabelME (337 images x 3 passes) Display(coming soon) v4
13 march 2008Joint locations for Ramanan dataset (305 images x 3 passes) Display(coming soon) v4
05 march 2008Segmentation masks for Ramanan dataset (305 images x 3 passes). Display(coming soon) v3
20 february 2008Experimental prototype 2. Labeling superpixels.(10 samples x 17 videos x 3 passes).Display(coming soon) v2
15 february 2008Experimental prototype 1. Grid-based image labeling.(10 samples x 17 videos x 3 passes).Display(coming soon) v1
If you want some of the data mentioned above, send an e-mail to Alex (sorokin2@uiuc.edu). This will speed up the process.

Tools and examples

Call for ideas

Will 5 000 annotated images boost your research project? Is it worth 100$? Shoot us an e-mail (sorokin2@uiuc.edu). It should take ...(we'll see, but hopefully within a week)... to get it done!

Related publications

The papers that use AmazonMT for annotation.

Want to help?

Send me e-mail if you are interested in this project and looking to do something. Also, if you want to make this site pretty, that'd be awesome.
Related image annotation projects:
Label Me, ESP game, Peekaboom,Lotus Hill Institute.
People behind this project: Alex Sorokin, David Forsyth