need some help on this.

Currently I am doing a project on computer vision that requires me to train a new model to detect a certain object. 

In this case, I am using the system provided by P. Felzenszwalb, D. McAllester, D. Ramaman and his team => Discriminatively trained deformable part models which is implemented in Matlab.

Project webpage: <http://www.cs.uchicago.edu/~pff/latent/>.

However I have no idea how to direct the system to use my dataset(a collection of images and annotation) which is different from the the PASCAL datasets so as to train a new model.

By directing, I meant a line of code that allows me to change the dataset the system reads from, for training a model.

E.g. 

% directory for caching models, intermediate data, and results

cachedir = ['/var/tmp/rbg/YOURPATH/' VOCyear '/']; 

I tried looking at their Readme and documentation guides but they do not make any mention. Do correct me if I am wrong.

Let me know if I have not made my problem clear enough.

I tried looking at some files such as global.m but no go.

Your help is much appreciated and thanks in advance!