title: Ideal number of HoG features
body: <p>So there many options of how one can extract HoG features.
  Using different orientations, different numbers of pixels per cell and different block sizes.</p>
  
  <p>But is there a standard or optimal configuration?
  I have training images of size 50x100, and I'm opting for 8 directions of orientation. I'm extracting the features from training data in order to do vehicle classification. But I really don't know what's "optimal". </p>
  
  <p>For example, I have 2 configurations here, is there any reason to choose one over the other? Personally I feel like the second one is a better choice, but why?</p>
  
  <p><img src="https://i.stack.imgur.com/zwSi5.png" alt="enter image description here"></p>
  
  <p><img src="https://i.stack.imgur.com/MVI6c.png" alt="enter image description here"></p>