<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>

CC BY-SA 4.0
2021-01-29T02:07:32.103Z
2021-01-29T02:07:32.103Z
Dan D.
<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>

CC BY-SA 4.0
2022-09-22T07:28:21.623Z
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).
Community
CC BY-SA 4.0
2022-09-22T06:48:27.050Z
2022-09-22T06:48:27.050Z
Mayank Maurya
<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>

<deep-learning><computer-vision><object-detection><yolo>
How does YOLO handle non-class objects?
FourierFlux
# 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


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## 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.


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### 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).  

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