<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>

CC BY-SA 4.0
2023-06-22T20:43:22.153Z
that was me who asked the question :)
Hamzah Al-Qadasi
CC BY-SA 4.0
2023-06-22T11:56:23.730Z
2023-06-22T11:56:53.493Z
2023-06-22T11:56:53.493Z
Hasnain
<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>

<yolo>
Yolov8 with key points detection without object detection
Hamzah Al-Qadasi
# 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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