Individual skill
yolo-training
This skill should be used when user asks to "improve my mAP", "why is my model overfitting", "my training is diverging", "read my results.csv", "interpret my training curves", "my AP50 is good but AP50-95 is bad", "my recall is low", "how do I pick learning rate", "which augmentations should I use", "should I use a bigger model", "tune hyperparameters", or asks how to train YOLO26 for detection, instance or semantic segmentation, pose, OBB, classification, or depth.
plugins/ultralytics-dev/skills/yolo-training/SKILL.md
Source commit 4f2b4bc9a74024397b4688cbafd1ae538a83a5fb
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- Last checked
- Nov 10, 2026
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- Repository last updated
- Nov 9, 2026
- License
- Apache-2.0
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# YOLO26 training
Read the run before changing anything. The `results.csv` and confusion matrix usually name the
problem already.
## Order of operations
Ordered by cost to try, cheapest first, not by size of the potential win.
1. **Epochs and schedule.** Undertrained looks like every other problem, and it costs nothing
but time to rule out.
2. **Augmentation.** The knob for the generalization gap, at no extra compute per epoch.
3. **Loss weights and LR.** Cheap, and the curves usually say which one is wrong.
4. **Model size.** Scale up when train loss is still falling at the end of the schedule and the