Answers.Body: <p>Object detection is a regression of the bounding box (rectangle) around the object. In this way, the two ways you suggest are equivalent.</p>
  
  <p>What I suggest you to look at is <a href="https://medium.com/towards-data-science/lane-detection-with-deep-learning-part-1-9e096f3320b7" rel="nofollow noreferrer">lane detection</a> for self-driving cars - a well studied problem. It seems that this is a very relevant task (if not the same), so its solution should work for you as well.</p>
  
Answers.ContentLicense: CC BY-SA 3.0
Answers.CreationDate: 2017-10-07T23:21:31.150Z
Answers.LastActivityDate: 2017-10-07T23:21:31.150Z
Answers.UserDisplayName: Maxim
Body: <p>I have some images of the empty parking as shown below. </p>
  
  <p><a href="https://i.sstatic.net/sDQLM.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/sDQLM.png" alt="Empty parking lot"></a></p>
  
  <p>I 'd like to use deep learning to extract the parking spots. But in the beginning,am confused whether there are several ways to do the following; </p>
  
  <ol>
  <li>Treat each parking spot as an object and use object detection to find
  the parking space.</li>
  <li>Treat the parking spot as a few key points, instead of finding the
  spot, try to find the coordinates of key points on the parking line.</li>
  </ol>
  
  <p>Any ideas on how would I work on these two methods  </p>
  
Tags: <neural-networks><convolutional-neural-networks><image-recognition><object-recognition>
Title: How to detect the empty parking spots?
UserDisplayName: user824624
ThreadText: # How to detect the empty parking spots?
  
  (Asked by: username_0 on 2017-09-26)
  
  I have some images of the empty parking as shown below.
  
  [![Empty parking lot](https://i.sstatic.net/sDQLM.png)](https://i.sstatic.net/sDQLM.png)
  
  I 'd like to use deep learning to extract the parking spots. But in the beginning,am confused whether there are several ways to do the following;
  
  1. Treat each parking spot as an object and use object detection to find
     the parking space.
  2. Treat the parking spot as a few key points, instead of finding the
     spot, try to find the coordinates of key points on the parking line.
  
  Any ideas on how would I work on these two methods
  
  **Tags:** neural-networks, convolutional-neural-networks, image-recognition, object-recognition
  
  ---
  
  ## 1 answers
  
  ### Answer by username_1 on 2017-10-07. Score: 2
  
  Object detection is a regression of the bounding box (rectangle) around the object. In this way, the two ways you suggest are equivalent.
  
  What I suggest you to look at is [lane detection](https://medium.com/towards-data-science/lane-detection-with-deep-learning-part-1-9e096f3320b7) for self-driving cars - a well studied problem. It seems that this is a very relevant task (if not the same), so its solution should work for you as well.
  
  
  ---
  
  