| --- |
| license: other |
| task_categories: |
| - other |
| --- |
| |
| # SoccerNet Features |
|
|
| Pre-extracted per-game features for the [SoccerNet](https://www.soccer-net.org) benchmark, structured as `<league>/<season>/<game>/<file>`, one file per game half (`1_...`/`2_...`). |
|
|
| This `main` branch holds no data — each feature type lives on its own branch so you only download what you need: |
|
|
| | Branch | Files | Description | |
| |---|---|---| |
| | `baidu-soccer-embeddings` | `{1,2}_baidu_soccer_embeddings.npy` | Frame embeddings from [baidu-research/vidpress-sports](https://github.com/baidu-research/vidpress-sports), used by the Action Spotting and Dense Video Captioning 2023 challenges | |
| | `resnet-tf2` | `{1,2}_ResNET_TF2.npy` | ResNET features @2fps, extracted with TF2 ([SoccerNetv2-DevKit](https://github.com/SilvioGiancola/SoccerNetv2-DevKit)) | |
| | `resnet-tf2-pca512` | `{1,2}_ResNET_TF2_PCA512.npy` | Same as above, dimensionality-reduced to 512 with PCA | |
| | `player-boundingbox-maskrcnn` | `{1,2}_player_boundingbox_maskrcnn.json` | Player bounding boxes @2fps, extracted with MaskRCNN | |
| | `field-calib-ccbv` | `{1,2}_field_calib_ccbv.json` | Field camera calibration @2fps, extracted with CCBV | |
|
|
| ## Download |
|
|
| Using the [SoccerNet pip package](https://pypi.org/project/SoccerNet/) (recommended — matches the local folder layout used by the rest of the `SoccerNet.Downloader` API): |
|
|
| ```python |
| from SoccerNet.Downloader import SoccerNetDownloader |
| d = SoccerNetDownloader(LocalDirectory="path/to/soccernet") |
| d.downloadDataTask(task="spotting-2023", split=["train", "valid", "test", "challenge"]) |
| d.downloadDataTask(task="caption-2023", split=["train", "valid", "test", "challenge"]) |
| ``` |
|
|
| Directly with `huggingface_hub`, picking a branch and (optionally) a subset of games via `allow_patterns`: |
|
|
| ```python |
| from huggingface_hub import snapshot_download |
| snapshot_download( |
| repo_id="SoccerNet/SN-Features", |
| repo_type="dataset", |
| revision="resnet-tf2-pca512", # one of the branches listed above |
| local_dir="path/to/soccernet", |
| ) |
| ``` |
|
|
| Corresponding labels (`Labels-v2.json`, `Labels-caption.json`) are in [`SoccerNet/SN-Labels`](https://huggingface.co/datasets/SoccerNet/SN-Labels). Held-out test/challenge ground truth is in the private [`SoccerNet/SN-GroundTruth`](https://huggingface.co/datasets/SoccerNet/SN-GroundTruth). |
|
|
