title: Bag of Words - SVM Classification - reg
body: <p>I'm doing an Object detection &amp; Recognition concept in OpenCV C++.</p>
  
  <p>I'm using the BOW API available in OpenCV.</p>
  
  <p>The classifier used is SVM.</p>
  
  <p>Number of Object classes was set to 20. Number of Images for training was set to 50.</p>
  
  <p>I'm using SVM Classifier.</p>
  
  <p>The code is here. <a href="http://www.codeproject.com/Articles/619039/Bag-of-Features-Descriptor-on-SIFT-Features-with-O" rel="nofollow">http://www.codeproject.com/Articles/619039/Bag-of-Features-Descriptor-on-SIFT-Features-with-O</a></p>
  
  <p>But the classification rate is poor. How can I improve?</p>
  
  <p>How to select number of images for training for each object?</p>
  
  <p>How to select the dictionary size?</p>