Answers.Body: <p>No, the original (or any) YOLO is for object detection. You can easily replace the feature extractor (DarkNet53, if I'm not mistaken) with any other, as long as you maintain the correct number of weights in the detection layer.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2021-01-15T08:29:05.370Z
Answers.Text: The basic network behind YOLO is CNN, why it's cannot be replaced?
Answers.UserDisplayName: ColinGuolin
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2021-01-15T11:11:51.027Z
Answers.Text: Pls read my answer again
Answers.UserDisplayName: Alex
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2021-01-14T19:52:06.393Z
Answers.LastActivityDate: 2021-01-14T19:52:06.393Z
Answers.UserDisplayName: Alex
Body: <p>I have an idea to adapt YOLO algorithm to my application, the original YOLO algorithm is for image classifications, which have 24 convolutional layers with output class of 1000, is it possible to replace the basic network of YOLO with Alexnet or Resnet or the custom network structure designed by myself? Noted that my application have input shape of 500 * 10000 * 1 and only 4 classes for classification.</p>
  
Tags: <machine-learning><deep-learning><tensorflow><object-detection><yolo>
Title: Is it possible to modify or replace the basic network of YOLO?
UserDisplayName: ColinGuolin
ThreadText: # Is it possible to modify or replace the basic network of YOLO?
  
  (Asked by: username_0 on 2021-01-14)
  
  I have an idea to adapt YOLO algorithm to my application, the original YOLO algorithm is for image classifications, which have 24 convolutional layers with output class of 1000, is it possible to replace the basic network of YOLO with Alexnet or Resnet or the custom network structure designed by myself? Noted that my application have input shape of 500 \* 10000 \* 1 and only 4 classes for classification.
  
  **Tags:** machine-learning, deep-learning, tensorflow, object-detection, yolo
  
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  ## 1 answers
  
  ### Answer by username_1 on 2021-01-14. Score: 0 | Accepted answer
  
  No, the original (or any) YOLO is for object detection. You can easily replace the feature extractor (DarkNet53, if I'm not mistaken) with any other, as long as you maintain the correct number of weights in the detection layer.
  
  > **Comments:**
  > **username_0**: The basic network behind YOLO is CNN, why it's cannot be replaced?  
  > **username_1**: Pls read my answer again  
  
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