| --- |
| license: other |
| license_name: opensportsball-bench-terms |
| pretty_name: OpenSportsBall benchmark data |
| tags: |
| - video |
| - sports |
| - soccer |
| - object-detection |
| - camera-calibration |
| size_categories: |
| - 1K<n<10K |
| extra_gated_heading: Request access to the OpenSportsBall benchmark data |
| extra_gated_description: >- |
| This dataset contains video of real, identifiable adult players in soccer |
| games. A maintainer reviews each request by hand, usually within a few days. |
| extra_gated_prompt: >- |
| By requesting access you agree to these terms. Use the data only to develop |
| or evaluate sports video processing, such as ball, player and pitch detection, |
| camera calibration and tracking. Don't redistribute it or any frames from it, |
| and don't publish frames in which a person can be recognised. Don't try to |
| identify the people in it, and don't use it for face recognition, biometrics |
| or surveillance. Keep your copy access-controlled and delete it when you |
| stop contributing or when the maintainers ask. Access can be revoked at any |
| time. |
| extra_gated_fields: |
| Full name: text |
| Affiliation or GitHub username: text |
| What will you use the data for: text |
| I agree to use this data only as described above and not to redistribute it: checkbox |
| extra_gated_button_content: Request access |
| --- |
| |
| # OpenSportsBall benchmark data |
|
|
| The data behind the benchmarks of |
| [OpenSportsBall](https://github.com/OpenSportsBall/opensportsball-processing), |
| an open-source system that films amateur field sports with two phones and |
| renders a broadcast-style video. It holds the recorded video and the labels |
| the processing pipeline is scored against, so contributors can rerun every |
| benchmark and compare their changes against the same numbers. |
|
|
| Access is gated: the footage shows real adult players who can be |
| identified, so it is shared only with contributors who accept the terms |
| above. |
|
|
| ## Contents |
|
|
| The repository mirrors the `footage/` directory of |
| `opensportsball-processing`, so a download lands where the tools already look. |
|
|
| | Path | What | |
| |---|---| |
| | `bench/rec3/`, `bench/rec4cal/` | The bench store for two night games: the phones' video segments the benches read (unchanged, sha256-checked against each manifest), plus sync, pitch maps, team colours, background models, play-box sets, ball label sets and detector caches | |
| | `bench/fixtures/pitch/` | Pitch-mapping regression fixtures and the marked-field benchmark | |
| | `models/` | The standard ball detector and judge, with a README of what each was trained on | |
| | `rec5-game/`, `rec6/`, `rec7/` | Pitch maps (`pitch/`) and ball label sets (`labels*/`, with their frames) from three more games: an orange ball, the first daylight game, and a night game with a yellow ball, with the cameras the pitch maps were made with (`phase0/cameras.json`). rec5-game and rec7 also have team sides (`teams/`), and rec7 a play-box set (`playeval/`). Their full videos are not included | |
| | `rec8/` | A fourth game outside the bench (night, 2026-11-11): its pitch map, cameras and team sides, and three play-box sets (`playeval/seg0-600`, `seg0-3000`, `seg0-3600`) of 10 plays the follow cam missed. From 54:37 on only Main has footage, so those panoramas show its half of the pitch. Its full video is not included | |
|
|
| A pitch map (`pitch/`) holds the fitted pitch (`pitch.json`), the median |
| background panorama it was fitted on (`background.png`, 0.03 deg per pixel) |
| and the hand-tapped keypoints twice: `taps.json` in that panorama's degrees, |
| and `taps_src.json` as pixels in each phone's 4K frame, which don't depend on |
| the stitch. rec7's pitch map (since 2026-11-09) comes from a joint fit of |
| both phones' lenses and the pitch, with no warp terms; rec5-game's and |
| rec6's are the older stitch plus warped pitch fit. |
|
|
| A ball label set holds `items.json` (the moments and frames picked for |
| labelling), `labels.json` (the ball positions, or none where it isn't |
| visible), `images/` (the labelled frames) and `pano/` (the stitched |
| frames). A set with `heldout.json` is kept for testing: don't train on it. |
|
|
| A play-box set (`playeval/<set>/`) holds the must-see moments of one clip |
| that a follow cam should keep in view: `clip.json` (the clip), |
| `boxes.json` (the reviewed box at each moment) and `items.json`, with the |
| panoramas they were drawn on (`pano/`, `pano.json`). |
|
|
| Team sides (`teams/<clip>/sides.json`) say which kit components are each |
| team and which are a keeper or referee. Where automatic side detection |
| failed they were set by hand (`sides.auto.json` is what it guessed). |
|
|
| ## Getting it |
|
|
| After your request is approved, from a checkout of |
| `opensportsball-processing`: |
|
|
| hf auth login # a read token is enough |
| uv run processing/spikes/sharedata.py fetch # everything (~37 GB) |
| uv run processing/spikes/sharedata.py fetch --annotations-only # pitch maps and labels only (~1 GB) |
| uv run processing/spikes/benchstore.py # check the bench video |
| |
| `docs/TESTING-PROCESSING.md` in that repository describes each benchmark and |
| how to run it. |
|
|
| ## Licence |
|
|
| The data is not under an open licence. It is shared only under the terms |
| you accept when requesting access. The code that uses it is AGPL-3.0. |
|
|
