# Low mAP50

**URL:** <https://community.ultralytics.com/t/low-map50/557>\
**Category:** YOLO\
**Tags:** obb, question\
**Created:** [December 1, 2024, 4:30pm UTC](https://community.ultralytics.com/t/low-map50/557 "2024-12-01T16:30:01Z")\
**Posts on this page:** 1\
**Showing post:** 6

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**Author:** ![BurhanQ](https://sea1.discourse-cdn.com/flex001/user_avatar/community.ultralytics.com/burhanq/32/7_2.png) [@BurhanQ](https://community.ultralytics.com/u/BurhanQ)\
**Post date:** [December 2, 2024, 1:38pm UTC](https://community.ultralytics.com/t/low-map50/557/6 "2024-12-02T13:38:01Z")

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In the spirit of [Advice on asking for Support](https://community.ultralytics.com/t/advice-on-asking-for-support/126) why are you trying to train using the DOTA dataset instead of using the pretrained model? What’s your aim?

If you need an OBB model trained on the data, you can load them using `YOLO("yolo11n-obb.pt")` without having to retrain anything. If your aim is to train a model from scratch, then yes you’d want to run these commands prior to training and then make sure to update the data YAML file for training to reflect the new directories created.

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_[View the full topic](https://community.ultralytics.com/t/low-map50/557)._