Answers.Body: <p>The output of YOLO is (x,y,w,h,confidence,class). The confidence value presents whether the rectangle holds an object, the rectangle is non-classed when confidence is low.</p>
  <p>The <code>class</code> value will be used, only when <code>confidence</code> is high.</p>
  
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Answers.CreationDate: 2021-01-29T02:07:32.103Z
Answers.LastActivityDate: 2021-01-29T02:07:32.103Z
Answers.UserDisplayName: Dan D.
Answers.Body: <p>As of now, it is not possible to detect the non-class object. You have to train that non-class object again then the model will detect.</p>
  
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Answers.CreationDate: 2022-09-22T07:28:21.623Z
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Answers.CreationDate: 2022-09-22T06:48:27.050Z
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Answers.UserDisplayName: Mayank Maurya
Body: <p>I have been reading more about computer vision and I'm bothered by YOLO and similar deep learning architectures.</p>
  <p>The thing I am confused about is how non-class image sections are dealt with. In particular, it's not clear to me at all why YOLO doesn't consider every part of an image a possible class.</p>
  <p>What actually sets the cutoff for detection and then classification?</p>
  
Tags: <deep-learning><computer-vision><object-detection><yolo>
Title: How does YOLO handle non-class objects?
UserDisplayName: FourierFlux
ThreadText: # How does YOLO handle non-class objects?
  
  (Asked by: username_0 on 2020-08-10)
  
  I have been reading more about computer vision and I'm bothered by YOLO and similar deep learning architectures.
  
  The thing I am confused about is how non-class image sections are dealt with. In particular, it's not clear to me at all why YOLO doesn't consider every part of an image a possible class.
  
  What actually sets the cutoff for detection and then classification?
  
  **Tags:** deep-learning, computer-vision, object-detection, yolo
  
  ---
  
  ## 2 answers
  
  ### Answer by username_1 on 2021-01-29. Score: 2
  
  The output of YOLO is (x,y,w,h,confidence,class). The confidence value presents whether the rectangle holds an object, the rectangle is non-classed when confidence is low.
  
  The `class` value will be used, only when `confidence` is high.
  
  
  ---
  
  ### Answer by username_2 on 2022-09-22. Score: 0
  
  As of now, it is not possible to detect the non-class object. You have to train that non-class object again then the model will detect.
  
  > **Comments:**
  > **username_3**: Your answer could be improved with additional supporting information. Please [edit] to add further details, such as citations or documentation, so that others can confirm that your answer is correct. You can find more information on how to write good answers [in the help center](/help/how-to-answer).  
  
  ---
  
  