Change licence to CC BY-NC 4.0 (LocateAnything-3B labels are non-commercial)

README.md

@@ -1,14 +1,41 @@
 ---
-license: apache-2.0
+license: cc-by-nc-4.0
 tags: [football, soccer, object-detection, instance-segmentation, coco]
 task_categories: [object-detection, image-segmentation]
 ---
 
-# FUT-HEROS SPF — COCO instance-segmentation dataset (ball / player / goal)
+# Kicky AI SPF, COCO instance segmentation dataset (ball / player / goal)
 
-Auto-labelled football frames (COCO format) for ball/player/goal instance segmentation.
-Labels generated by **SAM3 + NVIDIA LocateAnything-3B** (zero manual annotation), from a
-single fixed-camera amateur session. Clip-level, goal-stratified **train/valid/test** split.
+Auto labelled football frames (COCO format) for ball / player / goal instance segmentation.
+Labels generated by **SAM3 and NVIDIA LocateAnything-3B** (zero manual annotation), from a
+single fixed camera amateur session. Clip level, goal stratified **train / valid / test** split.
 
-`train/`, `valid/`, `test/` each have `_annotations.coco.json` + frames.
-Classes: `1 ball, 2 player, 3 goal`. Part of the [FUT-HEROS](https://github.com/) project.
+`train/`, `valid/`, `test/` each have `_annotations.coco.json` and frames.
+Classes: `1 ball, 2 player, 3 goal`.
+
+## Licence and use
+
+**Research, testing and personal use only. Not for commercial use.** This dataset is
+released under [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/).
+
+The labels were made by two teacher models, each under its own licence:
+
+| Teacher | Licence | Commercial use |
+|---|---|---|
+| [NVIDIA LocateAnything-3B](https://huggingface.co/nvidia/LocateAnything-3B) | [NVIDIA licence](https://huggingface.co/nvidia/LocateAnything-3B/blob/main/LICENSE), "research or evaluation purposes only" | No |
+| [Meta SAM3](https://huggingface.co/facebook/sam3) | SAM License | Yes, with Meta's use limits |
+
+Until 6 November 2026 this card said Apache-2.0. It was changed because of the
+LocateAnything-3B licence. The data is provided as is, with no warranty.
+
+## Where the footage comes from
+
+The frames come from one shooting practice session that the author, Abhishek Thomas, filmed
+himself on a phone, at an amateur pitch, in October 2025. The people in it are the author and
+a friend. Please do not use the frames to identify or track the people in them.
+To ask for removal of any frame, open a discussion on this repo.
+
+## Related
+
+- Model trained on this data: https://huggingface.co/build-small-hackathon/kicky-ai-rfdetr-seg
+- Demo Space: https://huggingface.co/spaces/build-small-hackathon/kicky-ai