YOLOv8 OBB about ultralytics HOT 1 OPEN

Hello! It looks like you're facing some challenges with the OBB detection performance on your custom dataset. Here are a couple of suggestions that might help improve the results:

1. Data Augmentation: Even though you've mentioned it, ensuring a diverse range of rotations and scales in your augmentations can be crucial for OBB tasks.

2. Hyperparameter Tuning: Adjusting learning rate, batch size, or using different optimizers might yield better results.

3. Increase Dataset Size: If possible, increasing the dataset size or adding more varied examples for underperforming classes could help.

4. Advanced Techniques: Consider using techniques like transfer learning from a similar task or integrating attention mechanisms that might help the model focus better on oriented objects.

5. Post-Processing: Sometimes adjusting the confidence thresholds and NMS parameters during inference can significantly change the outcomes.

If these adjustments don't lead to improvements, it might be helpful to review the annotations for accuracy or experiment with different architectures. Keep us posted on your progress! 🚀

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