Answers.Body: <p>It is possible! Here is an article by Adobe where they explain how they do it: <a href="https://theblog.adobe.com/spotting-image-manipulation-ai/" rel="nofollow noreferrer">https://theblog.adobe.com/spotting-image-manipulation-ai/</a></p>
  
  <p>The algorithm for this would almost certainly be a Convolutional Neural Net trained on a dataset of real and manipulated images (labeled as such).</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2019-04-08T08:54:30.010Z
Answers.Text: Thank you @axon, I'll check it and let you know if I'll reach any achievements.
Answers.UserDisplayName: singrium
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2019-04-08T07:46:32.920Z
Answers.LastActivityDate: 2019-04-08T07:46:32.920Z
Answers.UserDisplayName: axon
Body: <p>I have this question in my head: does the current level of AI development allow us to spot faked or photoshoped images? (i.e forged ID card or personal documents).  </p>
  
  <p>If it is possible, what is such a process to follow in order to build an AI that achieves this task?  </p>
  
Tags: <deep-learning><image-recognition><deepfakes>
Title: Is it possible to spot photoshoped or edited photos using AI?
UserDisplayName: singrium
ThreadText: # Is it possible to spot photoshoped or edited photos using AI?
  
  (Asked by: username_0 on 2019-01-08)
  
  I have this question in my head: does the current level of AI development allow us to spot faked or photoshoped images? (i.e forged ID card or personal documents).
  
  If it is possible, what is such a process to follow in order to build an AI that achieves this task?
  
  **Tags:** deep-learning, image-recognition, deepfakes
  
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  ## 1 answers
  
  ### Answer by username_1 on 2019-04-08. Score: 1
  
  It is possible! Here is an article by Adobe where they explain how they do it: <https://theblog.adobe.com/spotting-image-manipulation-ai/>
  
  The algorithm for this would almost certainly be a Convolutional Neural Net trained on a dataset of real and manipulated images (labeled as such).
  
  > **Comments:**
  > **username_0**: Thank you @axon, I'll check it and let you know if I'll reach any achievements.  
  
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