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Detailed guide on using YOLO with DOTA dataset for object detection, including dataset preparation, image splitting, and label handling. Ultralytics, YOLO, DOTA dataset, object detection, image processing, python, dataset preparation, image splitting, label handling, YOLO with DOTA, computer vision, AI, machine learning

Reference for ultralytics/data/split_dota.py

!!! Note

This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/split_dota.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/data/split_dota.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/data/split_dota.py) 🛠. Thank you 🙏!



::: ultralytics.data.split_dota.bbox_iof



::: ultralytics.data.split_dota.load_yolo_dota



::: ultralytics.data.split_dota.get_windows



::: ultralytics.data.split_dota.get_window_obj



::: ultralytics.data.split_dota.crop_and_save



::: ultralytics.data.split_dota.split_images_and_labels



::: ultralytics.data.split_dota.split_trainval



::: ultralytics.data.split_dota.split_test