docs/en/reference/data/split_dota.md

metadata

description: >-
  Detailed guide on using YOLO with DOTA dataset for object detection, including
  dataset preparation, image splitting, and label handling.
keywords: >-
  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