Body: <p>Let's say that I want to create a program capable of detecting lamps on some pictures. Those pictures can be, for instance, of a room, a street, etc.</p>
  <p>I would like to know if the following is possible:</p>
  <ul>
  <li>Create a program that is trained using both pictures of lamps (so a dataset of images) and numerical/categorical data of lamps (so that would be a .csv file which contains features ranging from type, height, etc.)
  The idea is to combine both types of data in order to detect on another unseen picture if it contains a lamp.</li>
  </ul>
  <p>I'm not entirely sure if the resulting algorithm will be performant, but I would like to try.</p>
  <p>If what I described above is possible, could you please point me in the right direction as to which literature to consult ? My research have lead me nowhere.</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2021-02-22T21:43:13.017Z
Comments.Text: Welcome to Ai Community,however..,I kindly request you to first go through our community guidelines - [help](https://ai.stackexchange.com/help). For effective feedback.
Comments.UserDisplayName: quintumnia
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2021-02-23T09:18:05.167Z
Comments.Text: i dont think those categorical data are useful, they might be actually labels like after object detection of lamps, classify them into 'types'
Comments.UserDisplayName: Dan D.
Tags: <deep-learning>
Title: Using numerical/categorical data and image data to detect objects
UserDisplayName: Kris
ThreadText: # Using numerical/categorical data and image data to detect objects
  
  (Asked by: username_0 on 2021-02-22)
  
  Let's say that I want to create a program capable of detecting lamps on some pictures. Those pictures can be, for instance, of a room, a street, etc.
  
  I would like to know if the following is possible:
  
  * Create a program that is trained using both pictures of lamps (so a dataset of images) and numerical/categorical data of lamps (so that would be a .csv file which contains features ranging from type, height, etc.)
    The idea is to combine both types of data in order to detect on another unseen picture if it contains a lamp.
  
  I'm not entirely sure if the resulting algorithm will be performant, but I would like to try.
  
  If what I described above is possible, could you please point me in the right direction as to which literature to consult ? My research have lead me nowhere.
  
  **Tags:** deep-learning
  > **Comments:**
  > **username_1**: Welcome to Ai Community,however..,I kindly request you to first go through our community guidelines - [help](https://ai.stackexchange.com/help). For effective feedback.  
  > **username_2**: i dont think those categorical data are useful, they might be actually labels like after object detection of lamps, classify them into 'types'  
  
  ---
  
  ## 0 answers
  
  