Answers.Body: <p>No, you can't. In CNN, if you want to detect landmark, you need to prepare data with region box, it's coordinates, width, height, than number of points that should be detected and points coordinates. Then your target vector should be,</p>
  <p><a href="https://i.sstatic.net/pZPp7.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/pZPp7.png" alt="" /></a></p>
  <p>This is your target vector. Optionally you can use YOLO algorithm.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2020-07-20T10:05:50.383Z
Answers.LastActivityDate: 2020-07-20T10:05:50.383Z
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Body: <p>Is there a way to get landmark features automatically learned by a neural network without having to manually pre-label them in the images that are being fed into the network?</p>
  
Tags: <neural-networks><deep-learning><convolutional-neural-networks><self-supervised-learning><automated-machine-learning>
Title: Is there a way to get landmark features automatically learned by a neural network?
UserDisplayName: user784446
ThreadText: # Is there a way to get landmark features automatically learned by a neural network?
  
  (Asked by: username_0 on 2020-07-19)
  
  Is there a way to get landmark features automatically learned by a neural network without having to manually pre-label them in the images that are being fed into the network?
  
  **Tags:** neural-networks, deep-learning, convolutional-neural-networks, self-supervised-learning, automated-machine-learning
  
  
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  ## 1 answers
  
  ### Answer by username_1 on 2020-07-20. Score: 1
  
  No, you can't. In CNN, if you want to detect landmark, you need to prepare data with region box, it's coordinates, width, height, than number of points that should be detected and points coordinates. Then your target vector should be,
  
  [![](https://i.sstatic.net/pZPp7.png)](https://i.sstatic.net/pZPp7.png)
  
  This is your target vector. Optionally you can use YOLO algorithm.
  
  
  ---
  
  