This is a C++ implementation of supervised latent Dirichlet allocation (sLDA) for classification. Note that the code here is slightly different from what was described in  in order to speed up. Note that this is only the sLDA. The annotation part is not yet posted.
Download the readme.txt .
Download the code (version 1.0): slda.tgz .
A preprocessed 8-class image dataset  from Labelme. download data.tgz.
UIUC Sports annotation files: annotations and meta information. The source image
files can be found at here.
(Note: there might be some discrepancies and I don't seem to know why...)
 Chong Wang, David M. Blei and Li Fei-Fei. Simultaneous image classification and annotation. In CVPR, 2009. [PDF]
 David M. Blei and Jon McAuliffe. Supervised topic models. In NIPS, 2007. [PDF]
Back to the homepage.
A post by Pooja on the details of how to use sLDA.