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README.md

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+---
+pretty_name: NUpbr RoboCup Jersey-Colour Robot Detection Dataset
+license: mit
+task_categories:
+- object-detection
+tags:
+- robotics
+- robocup
+- synthetic
+- simulation
+- physically-based-rendering
+size_categories:
+- 1K<n<10K
+---
+
+# NUpbr RoboCup Jersey-Colour Robot Detection Dataset
+
+2,000 physically-based-rendered images of RoboCup Humanoid Soccer scenes,
+generated with [NUpbr](https://github.com/NUbots/NUpbr), each
+containing 1-4 robots and one ball, with per-instance bounding boxes and,
+for each robot, a jersey colour.
+
+Every frame is restricted to at most two distinct jersey colours across all
+robots present, regardless of robot count. Each robot is independently
+assigned one of the two colours sampled fresh for that frame from a wide,
+vividly-saturated colour space. This makes the dataset suited to
+colour-conditioned role classification (e.g. teammate/opponent assignment
+from an externally supplied reference colour), in addition to standard
+robot/ball detection.
+
+## Dataset structure
+
+```
+images/000001.png ... images/002000.png    1280x1024 RGBA renders
+metadata.jsonl                              one JSON object per image
+```
+
+Each line of `metadata.jsonl`:
+
+```json
+{
+  "file_name": "images/000001.png",
+  "robots": [
+    {"bbox": [640, 70, 717, 240], "jersey_colour": "#c339e6", "model": "GankenKun"}
+  ],
+  "ball": {"bbox": [408, 470, 523, 585], "id": "ball_030"}
+}
+```
+
+- `bbox`: `[x_min, y_min, x_max, y_max]` in integer pixel coordinates, origin top-left.
+- `jersey_colour`: `#rrggbb` hex string, unique per robot-colour-group within a frame (at most two distinct values per image).
+- `model`: the robot mesh/model used for that instance (e.g. `nugus`,`GankenKun`, `darwin`, `wolfgang`).
+- `ball.id`: the ball texture/asset identifier used for that instance.
+- Every image has exactly one ball and between one and four robots.
+
+This follows the Hugging Face `imagefolder` convention -- loadable directly with:
+
+```python
+from datasets import load_dataset
+ds = load_dataset("imagefolder", data_dir="path/to/robot_jersey_dataset")
+```
+
+## Generation
+
+Images were rendered with NUpbr, a Blender-based physically-based rendering
+pipeline for RoboCup Humanoid Soccer scenes. Robot
+positions, camera viewpoint, HDRI environment, and jersey colours are
+randomised per frame; a frame is discarded and regenerated if it does not
+end up with between one and four visible robots, or if any visible robot or
+ball would otherwise be left without a valid bounding box (occluded,
+out of frame, or an implausible fisheye-projection artifact).