ultralytics 8.0.235 YOLOv8 OBB train, val, predict and export (#4499)

Co-authored-by: Yash Khurana <ykhurana6@gmail.com>
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Co-authored-by: Swamita Gupta <swamita2001@gmail.com>
Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com>
Co-authored-by: Laughing-q <1185102784@qq.com>
Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com>
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ultralytics/cfg/datasets/DOTAv2.yaml

@@ -1,37 +0,0 @@
-# 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