updated docs

docs/docs/imaging.xml

@@ -2270,6 +2270,14 @@
                    <a href="ml.html#structural_object_detection_trainer">structural_object_detection_trainer</a>
                    to learn the parameters of an object_detector.  See the example programs for an introduction.
                 </p>
+
+               <p>
+                  Also note that dlib contains more powerful <a
+                  href="ml.html#loss_mmod_">CNN based object detection
+                  tooling</a>, which will usually run slower but produce much
+                  more general and accurate detectors.
+               </p>
+   
          </description>
          <examples>
             <example>fhog_object_detector_ex.cpp.html</example>

docs/docs/index.xml

@@ -71,7 +71,7 @@
                      <a href="ml.html#structural_svm_problem">structural support vector machines</a>. </li> 
                   <li>Structural SVM tools for <a href="ml.html#structural_sequence_labeling_trainer">sequence labeling</a> </li>  
                   <li>Structural SVM tools for solving <a href="ml.html#structural_assignment_trainer">assignment problems</a> </li>  
-                  <li>Structural SVM tools for <a href="ml.html#structural_object_detection_trainer">object detection</a> in images </li>  
+                  <li>Structural SVM tools for <a href="ml.html#structural_object_detection_trainer">object detection</a> in images as well as more powerful (but slower) <a href="ml.html#loss_mmod_">deep learning tools for object detection</a>. </li>  
                   <li>Structural SVM tools for <a href="ml.html#structural_graph_labeling_trainer">labeling nodes</a> in graphs </li>  
                   <li>A large-scale <a href="ml.html#svm_rank_trainer">SVM-Rank</a> implementation</li>
                   <li>An online <a href="ml.html#krls">kernel RLS regression</a> algorithm</li>