James Z. Wang's Research Group

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Download Databases for research comparison

Download 10,000 test images (low resolution web-crawled misc database used in WBIIS);
download 1,000 test images (test database used in SIMPLIcity paper)(zip);
If you need the 60,000-image database used in SIMPLIcity, ALIPR, and ALIP papers for research comparison, please contact James Wang.
The databases should be used only for comparing algorithms, which can be considered as 'fair use' of the images and our metadata. You should not redistribute the images.

These datasets have been used in our publications.

  • Jia Li and James Z. Wang, ``Real-time Computerized Annotation of Pictures,'' IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, no. 6, pp. 985-1002, 2008. (download)
  • Jia Li, James Z. Wang, ``Automatic linguistic indexing of pictures by a statistical modeling approach,'' IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 9, pp. 1075-1088, 2003. (download)
  • James Z. Wang, Jia Li, Gio Wiederhold, ``SIMPLIcity: Semantics-sensitive Integrated Matching for Picture LIbraries,'' IEEE Trans. on Pattern Analysis and Machine Intelligence, vol 23, no.9, pp. 947-963, 2001. (download)
Download the Aesthetics Data for Research
The dataset was used in our computational aesthetics work. The data is provided for non-commerical research comparison only. You should not redistribute the data.
  • R. Datta, J. Li, and J. Z. Wang, Algorithmic Inferencing of Aesthetics and Emotion in Natural Images: An Exposition, Proc. IEEE ICIP, Special Session on Image Aesthetics, Mood and Emotion, San Diego, CA, 2008. (download)
Download the Brushstroke Data of van Gogh Paintings for Research (tar.gz)
The dataset was used in our painting analysis work. The data is provided for academic research comparison only. You should not redistribute the data.
  • Jia Li, Lei Yao, Ella Hendriks and James Z. Wang, ``Rhythmic Brushstrokes Distinguish van Gogh from His Contemporaries: Findings via Automated Brushstroke Extraction,'' IEEE Transactions on Pattern Analysis and Machine Intelligence, DOI: 10.1109/TPAMI.2011.203 online, 2011, print version to appear in 2012. (download)

Obtain SIMPLIcity Software Package

If you are a government agency, an education institution, or a non-profit organization, we may offer you a FREE license of the SIMPLIcity system to run on Linux or Solaris. Please contact Prof. James Wang by email to discuss details. At the moment, the C source code is not ready for public download. If you are commercial and would like to use SIMPLIcity, let us know and we will try to arrange to let you use.

To try SIMPLIcity on a real-world site with more than a million images and many concurrent users, go to