feat: add dota8 obb example dataset (#531)

Co-authored-by: UltralyticsAssistant <[email protected]>

example_datasets/dota8/README.md

@@ -0,0 +1,19 @@
+# Ultralytics DOTA8 Dataset
+
+## Introduction
+
+[Ultralytics](https://ultralytics.com) DOTA8 is a small, but versatile oriented object detection dataset composed of 8 images of the split DOTAv1 set, 4 for training and 4 for validation. This dataset is ideal for testing and debugging oriented object detection models, or for experimenting with new detection approaches. With 8 images, it is small enough to be easily manageable, yet diverse enough to test training pipelines for errors and act as a sanity check before training larger datasets.
+
+This dataset is intended for use with Ultralytics [HUB](https://hub.ultralytics.com) and [YOLOv8](https://github.com/ultralytics/ultralytics).
+
+## Resources
+
+We hope that the variety of resources provided here will help you get the most out of HUB and maximize your experience with HUB and DOTA8.
+
+- Browse the [Docs](https://docs.ultralytics.com/) for details on usage and implementation.
+- Raise an issue on [GitHub](https://github.com/ultralytics/hub/issues/new/choose) for support and troubleshooting.
+- Join our [Discord](https://ultralytics.com/discord) community for questions and discussions with fellow users and developers.
+- Learn more about Ultralytics and our work at our [Community](https://community.ultralytics.com) page.
+- Explore the Ultralytics YOLOv8 [GitHub](https://github.com/ultralytics/ultralytics) repository for additional tools and resources.
+
+To request an Enterprise License, please complete the form at [Ultralytics Licensing](https://ultralytics.com/license).

example_datasets/dota8/dota8.yaml

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+# Ultralytics YOLO 🚀, AGPL-3.0 license
+# DOTA8 dataset 8 images from split DOTAv1 dataset by Ultralytics
+# Documentation: https://docs.ultralytics.com/datasets/obb/dota8/
+# Example usage: yolo train model=yolov8n-obb.pt data=dota8.yaml
+# parent
+# ├── ultralytics
+# └── datasets
+#     └── dota8  ← downloads here (1MB)
+
+train: images/train  # train images (relative to 'path') 4 images
+val: images/val  # val images (relative to 'path') 4 images
+
+# Classes for DOTA 1.0
+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

example_datasets/dota8/labels/train/P0861__1024__0___1648.txt

@@ -0,0 +1,110 @@
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example_datasets/dota8/labels/train/P1053__1024__0___90.txt

@@ -0,0 +1,13 @@
+10 0.166016 0.492188 0.15039 0.500977 0.132812 0.467773 0.148438 0.458007
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example_datasets/dota8/labels/train/P1142__1024__0___824.txt

@@ -0,0 +1 @@
+0 0.779296 0.690429 0.625976 0.451171 0.88965 0.266601 1.04199 0.51465

example_datasets/dota8/labels/train/P1161__1024__3296___1648.txt

@@ -0,0 +1 @@
+0 0.33789 0.984377 0.1875 1.05664 0.111329 0.89844 0.267575 0.828125

example_datasets/dota8/labels/val/P1470__1024__3296___1648.txt

@@ -0,0 +1,4 @@
+13 0.241213 0.0185549 0.63672 0.0185549 0.63672 0.281247 0.241213 0.281247
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+5 0.905276 0.0185549 1.02246 0.0185549 1.02246 0.227538 0.905276 0.227538

example_datasets/dota8/labels/val/P1571__1024__2976___0.txt

@@ -0,0 +1 @@
+3 0.895508 0.454102 0.90918 0.508791 0.856445 0.525389 0.84082 0.469727

example_datasets/dota8/labels/val/P1580__1024__824___824.txt

@@ -0,0 +1,2 @@
+3 0.867188 0.578125 0.912109 0.620117 0.864258 0.658203 0.820312 0.614258
+3 0.834961 0.43457 0.823242 0.387695 0.87207 0.37793 0.883789 0.423828

example_datasets/dota8/labels/val/P1724__1024__0___824.txt

@@ -0,0 +1 @@
+3 0.264648 0.892579 0.331055 0.882811 0.34082 0.951173 0.277344 0.961914