Image Understanding
Image Understanding

At Microsoft Research in Cambridge we are developing new machine vision algorithms for automatic recognition and segmentation of many different object categories. We are interested in both the supervised and unsupervised scenarios.

Demos

(click to view demo videos)

 

Epitomic Location Recognition

 

Interactive Object Class Recognition

 

Object Class Recognition at a Glance

 

Object and gesture recognition

 

L O C U S       

car --car rear -- horse

 

 

 Research data 

(click to download labelled image databases for supervised learning)

 

Note that the data provided here may be used freely for research purposes but it cannot be used for commercial purposes. 

    1. Database of thousands of weakly labelled, high-res images. Please, click here to download the database.
    2. Pixel-wise labelled image database v1 (240 images, 9 object classes). Please, click here to download the database. This database was used in paper 1 below and in the above demo video. Please click here to read the full license.
    3. Pixel-wise labelled image database v2(591 images, 23 object classes). Please, click here to download the database. Please click here to read the full license.

 

Publications

    2011

    2009

    2008

    2007

    2006

    2005