I have some images of the empty parking as shown below.

Empty parking lot

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


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 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.


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