diff --git a/README.rst b/README.rst
index f41e460d5bb47e097707ebab12138691d5fd22f0..778013271edfec8e3c7e952bd8dc564cd39ef141 100644
--- a/README.rst
+++ b/README.rst
@@ -3,15 +3,19 @@
 .. Fri Sep 19 12:51:09 CEST 2014
 
 .. image:: http://img.shields.io/badge/docs-stable-yellow.png
-   :target: http://pythonhosted.org/xfacereclib.extension.CSU/index.html
+   :target: http://pythonhosted.org/bob.bio.csu/index.html
 .. image:: http://img.shields.io/badge/docs-latest-orange.png
-   :target: https://www.idiap.ch/software/bob/docs/latest/bioidiap/xfacereclib.extension.CSU/master/index.html
+   :target: https://www.idiap.ch/software/bob/docs/latest/bioidiap/bob.bio.csu/master/index.html
+.. image:: http://travis-ci.org/bioidiap/bob.bio.csu.svg?branch=master
+   :target: https://travis-ci.org/bioidiap/bob.bio.csu?branch=master
+.. image:: https://coveralls.io/repos/bioidiap/bob.bio.csu/badge.png?branch=master
+   :target: https://coveralls.io/r/bioidiap/bob.bio.csu?branch=master
 .. image:: https://img.shields.io/badge/github-master-0000c0.png
-   :target: https://github.com/bioidiap/xfacereclib.extension.CSU/tree/master
-.. image:: http://img.shields.io/pypi/v/xfacereclib.extension.CSU.png
-   :target: https://pypi.python.org/pypi/xfacereclib.extension.CSU
-.. image:: http://img.shields.io/pypi/dm/xfacereclib.extension.CSU.png
-   :target: https://pypi.python.org/pypi/xfacereclib.extension.CSU
+   :target: https://github.com/bioidiap/bob.bio.csu/tree/master
+.. image:: http://img.shields.io/pypi/v/bob.bio.csu.png
+   :target: https://pypi.python.org/pypi/bob.bio.csu
+.. image:: http://img.shields.io/pypi/dm/bob.bio.csu.png
+   :target: https://pypi.python.org/pypi/bob.bio.csu
 .. image:: https://img.shields.io/badge/original-software-a000a0.png
    :target: http://www.cs.colostate.edu/facerec
 
@@ -25,7 +29,7 @@ This package is part of the ``bob.bio`` packages, which allow to run comparable
 This package provides wrapper classes for the CSU face recognition resources, which can be downloaded from http://www.cs.colostate.edu/facerec.
 Two algorithms are provided by the CSU toolkit (and also by this package): the local region PCA (LRPCA) and the LDA-IR (also known as CohortLDA).
 
-For more information about the LRPCA and the LDA-IR algorithm, please refer to the documentation on http://www.cs.colostate.edu/facerec/.
+For more information about the LRPCA and the LDA-IR algorithm, please refer to the documentation on http://www.cs.colostate.edu/facerec.
 For further information about ``bob.bio``, please read `its Documentation <http://pythonhosted.org/bob.bio.base/index.html>`_.