2af71d15a6
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: UltralyticsAssistant <web@ultralytics.com> Co-authored-by: RizwanMunawar <chr043416@gmail.com>
44 lines
1.3 KiB
Markdown
44 lines
1.3 KiB
Markdown
---
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description: Detailed guide on using YOLO with DOTA dataset for object detection, including dataset preparation, image splitting, and label handling.
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keywords: Ultralytics, YOLO, DOTA dataset, object detection, image processing, python, dataset preparation, image splitting, label handling, YOLO with DOTA, computer vision, AI, machine learning
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---
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# Reference for `ultralytics/data/split_dota.py`
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!!! Note
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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](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/data/split_dota.py) 🛠️. Thank you 🙏!
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<br><br>
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## ::: ultralytics.data.split_dota.bbox_iof
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<br><br>
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## ::: ultralytics.data.split_dota.load_yolo_dota
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<br><br>
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## ::: ultralytics.data.split_dota.get_windows
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<br><br>
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## ::: ultralytics.data.split_dota.get_window_obj
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<br><br>
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## ::: ultralytics.data.split_dota.crop_and_save
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<br><br>
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## ::: ultralytics.data.split_dota.split_images_and_labels
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<br><br>
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## ::: ultralytics.data.split_dota.split_trainval
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<br><br>
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## ::: ultralytics.data.split_dota.split_test
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<br><br>
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