ultralytics 8.0.151 add DOTAv2.yaml for OBB training (#4258)

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Kayzwer <68285002+Kayzwer@users.noreply.github.com>

ultralytics/cfg/datasets/DOTAv2.yaml

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+# Ultralytics YOLO 🚀, AGPL-3.0 license
+# DOTA 2.0 dataset https://captain-whu.github.io/DOTA/index.html for object detection in aerial images by Wuhan University
+# Example usage: yolo train model=yolov8n-obb.pt data=DOTAv2.yaml
+# parent
+# ├── ultralytics
+# └── datasets
+#     └── dota2  ← downloads here (2GB)
+
+# Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
+path: ../datasets/DOTAv2  # dataset root dir
+train: images/train  # train images (relative to 'path') 1411 images
+val: images/val  # val images (relative to 'path') 458 images
+test: images/test  # test images (optional) 937 images
+
+# Classes for DOTA 2.0
+names:
+  0: plane
+  1: ship
+  2: storage tank
+  3: baseball diamond
+  4: tennis court
+  5: basketball court
+  6: ground track field
+  7: harbor
+  8: bridge
+  9: large vehicle
+  10: small vehicle
+  11: helicopter
+  12: roundabout
+  13: soccer ball field
+  14: swimming pool
+  15: container crane
+  16: airport
+  17: helipad
+
+# Download script/URL (optional)
+download: https://github.com/ultralytics/yolov5/releases/download/v1.0/DOTAv2.zip