Answers.Body: <p>According to this github <a href="https://github.com/ultralytics/ultralytics/issues/2929" rel="nofollow noreferrer">issue</a>, it's not yet possible to train the model without any bounding box information unless you make changes to the architecture, and evaluation metrics. So the simple answer is <em>&quot;No, you can't train the model without box info&quot;</em>.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2023-06-22T20:43:22.153Z
Answers.Text: that was me who asked the question :)
Answers.UserDisplayName: Hamzah Al-Qadasi
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2023-06-22T11:56:23.730Z
Answers.LastActivityDate: 2023-06-22T11:56:53.493Z
Answers.LastEditDate: 2023-06-22T11:56:53.493Z
Answers.UserDisplayName: Hasnain
Body: <p>I have a project where the data is annotated with key points without any bounding boxes. If I want only the key points without the bounding box around the object, is that possible or each object should have both bbox and key points. Can I train Yolov8 with key points detection without object detection (bounding boxes)?</p>
  <p>If the answer is yes, how the annotation file should look like, please give me an example.</p>
  
Tags: <yolo>
Title: Yolov8 with key points detection without object detection
UserDisplayName: Hamzah Al-Qadasi
ThreadText: # Yolov8 with key points detection without object detection
  
  (Asked by: username_0 on 2023-05-31)
  
  I have a project where the data is annotated with key points without any bounding boxes. If I want only the key points without the bounding box around the object, is that possible or each object should have both bbox and key points. Can I train Yolov8 with key points detection without object detection (bounding boxes)?
  
  If the answer is yes, how the annotation file should look like, please give me an example.
  
  **Tags:** yolo
  
  
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  ## 1 answers
  
  ### Answer by username_1 on 2023-06-22. Score: 0 | Accepted answer
  
  According to this github [issue](https://github.com/ultralytics/ultralytics/issues/2929), it's not yet possible to train the model without any bounding box information unless you make changes to the architecture, and evaluation metrics. So the simple answer is *"No, you can't train the model without box info"*.
  
  > **Comments:**
  > **username_0**: that was me who asked the question :)  
  
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