Body: <p>I have a large collection of floor plans that I need to convert into indoor maps by extracting walls as lines, doors as lines, and rooms as polygons. Currently, I do this process manually.</p>
  <p>The floor plans vary in layout; some walls are represented by single lines, while others by multiple lines:
  <a href="https://i.sstatic.net/GP5GVlxQ.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/GP5GVlxQ.png" alt="enter image description here" /></a></p>
  <p>Expected Maps:
  <a href="https://i.sstatic.net/rEDDjYjk.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/rEDDjYjk.png" alt="enter image description here" /></a></p>
  <p>Given these variations, I believe it might be possible to automate the creation of these maps using deep learning or another suitable approach (with minimal manual adjustments if necessary).</p>
  <p>As a newcomer to AI, I'm not sure where to begin.</p>
  <p>Do you have any suggestions?</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2024-08-22T23:24:58.987Z
Comments.Text: What's the size of dataset? How many of them are annotated?
Comments.UserDisplayName: Kulin Patel
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2024-08-23T01:00:34.283Z
Comments.Text: Almost 900+ floor plan images at the moment with each almost 300-60000 square meters. Most of them are not annotated.
Comments.UserDisplayName: hguser
Tags: <object-detection><image-segmentation>
Title: Indoor elements detect from floor image
UserDisplayName: hguser
ThreadText: # Indoor elements detect from floor image
  
  (Asked by: username_0 on 2024-08-15)
  
  I have a large collection of floor plans that I need to convert into indoor maps by extracting walls as lines, doors as lines, and rooms as polygons. Currently, I do this process manually.
  
  The floor plans vary in layout; some walls are represented by single lines, while others by multiple lines:
  [![enter image description here](https://i.sstatic.net/GP5GVlxQ.png)](https://i.sstatic.net/GP5GVlxQ.png)
  
  Expected Maps:
  [![enter image description here](https://i.sstatic.net/rEDDjYjk.png)](https://i.sstatic.net/rEDDjYjk.png)
  
  Given these variations, I believe it might be possible to automate the creation of these maps using deep learning or another suitable approach (with minimal manual adjustments if necessary).
  
  As a newcomer to AI, I'm not sure where to begin.
  
  Do you have any suggestions?
  
  **Tags:** object-detection, image-segmentation
  
  > **Comments:**
  > **username_1**: What's the size of dataset? How many of them are annotated?  
  > **username_0**: Almost 900+ floor plan images at the moment with each almost 300-60000 square meters. Most of them are not annotated.  
  
  ---
  
  ## 0 answers
  
  