Add README.md

README.md

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 ---
 license: mit
+task_categories:
+  - object-detection
+tags:
+  - yolo
+  - obb
+  - oriented-bounding-box
+  - cubes
+  - robotics
+  - pick-and-place
+pretty_name: Cube Detection on Monopoly Board Background (OBB)
+size_categories:
+  - n<1K
 ---
+
+# Cube Detection on Monopoly Board Background (OBB)
+
+A small oriented-bounding-box (OBB) detection dataset of colored cubes placed on a Movensys "Monopoly" board background. Intended for fine-tuning YOLO-style OBB detectors used in pick-and-place / robotic manipulation pipelines.
+
+## Classes
+
+| ID | Name         |
+|----|--------------|
+| 0  | green_cube   |
+| 1  | yellow_cube  |
+| 2  | blue_cube    |
+| 3  | red_cube     |
+
+## Splits
+
+| Split | Images | Labels |
+|-------|--------|--------|
+| train | 104    | 104    |
+| val   | 29     | 29     |
+| test  | 16     | 16     |
+| **total** | **149** | **149** |
+
+## Image format
+
+- Resolution: 1280 × 720, RGB JPEG
+- Captured from a top-down camera over a printed Movensys Monopoly board, with colored cubes placed at varying positions and orientations
+
+## Label format
+
+YOLO OBB — one row per object, 9 values:
+
+```
+class_id x1 y1 x2 y2 x3 y3 x4 y4
+```
+
+All polygon coordinates are normalized to `[0, 1]` relative to image width/height. Vertices are given in order around the box.
+
+Example (`train/labels/00001.txt`):
+```
+0 0.0522 0.1119 0.1013 0.0214 0.1529 0.1101 0.1038 0.2005
+3 0.2423 0.0615 0.3122 0.0615 0.3122 0.1869 0.2423 0.1869
+```
+
+## Directory layout
+
+```
+.
+├── dataset.yaml
+├── train/
+│   ├── images/   # *.jpg
+│   └── labels/   # *.txt
+├── val/
+│   ├── images/
+│   └── labels/
+└── test/
+    ├── images/
+    └── labels/
+```
+
+## Usage
+
+### Download
+
+```bash
+hf download movensys/cube-detection-monoply-background-obb \
+    --repo-type dataset \
+    --local-dir ./cube-detection-monoply-background-obb
+```
+
+### Train with Ultralytics YOLO (OBB)
+
+After download, update the `path:` field in `dataset.yaml` to point at the local copy:
+
+```yaml
+path: /absolute/path/to/cube-detection-monoply-background-obb
+train: train/images
+val: val/images
+test: test/images
+names:
+  0: green_cube
+  1: yellow_cube
+  2: blue_cube
+  3: red_cube
+```
+
+Then:
+
+```python
+from ultralytics import YOLO
+
+model = YOLO("yolo11n-obb.pt")
+model.train(data="dataset.yaml", epochs=100, imgsz=1280)
+```
+
+## License
+
+Released under the MIT License.