| --- |
| license: other |
| license_link: https://drive.google.com/file/d/1Efz8yP-baa8CtcMB7SYIID7Bn5sH7sGTB4-u1YdVRf4/view |
| tags: |
| - soccer |
| - football |
| - sports |
| - video |
| - action-spotting |
| - temporal-action-localization |
| - computer-vision |
| - broadcast-video |
| pretty_name: SoccerNet Videos |
| extra_gated_heading: Request access to Dataset |
| extra_gated_description: > |
| Complete the information below to request access. The SoccerNet team will |
| review your request and the information you provide. If your request is |
| accepted, a personalized Non-Disclosure Agreement will be sent to the email |
| address associated with your Hugging Face account. |
| extra_gated_button_content: Sign the NDA and request access |
| extra_gated_prompt: > |
| By submitting this request, you confirm that the information supplied is |
| accurate and that you have read and accept the SoccerNet Non-Disclosure |
| Agreement available at |
| https://drive.google.com/file/d/1Efz8yP-baa8CtcMB7SYIID7Bn5sH7sGTB4-u1YdVRf4/view. |
| extra_gated_fields: |
| Full Name: text |
| Affiliation: text |
| Please describe what you plan to do with the dataset: text |
| I understand that the use of this dataset is for research and non-commercial use only: checkbox |
| I understand that this dataset and the videos are protected by copyright: checkbox |
| I agree not to share the dataset with anyone else: checkbox |
| I agree to and electronically sign the Non-Disclosure Agreement: checkbox |
| --- |
| |
| # SoccerNet Tracking — Raw Single-Camera Video |
|
|
| Raw single-camera broadcast footage used in the SoccerNet Player Tracking benchmark, covering the 12 single-camera games. |
|
|
| **Gated** — request access on this page. |
|
|
| | File | Description | |
| |---|---| |
| | `single_camera_games_public.zip` | Raw single-camera video for all 12 tracking games | |
|
|
| ## Download |
|
|
| Using the [SoccerNet pip package](https://pypi.org/project/SoccerNet/) (recommended): |
|
|
| ```python |
| from SoccerNet.Downloader import SoccerNetDownloader |
| d = SoccerNetDownloader(LocalDirectory="path/to/soccernet") |
| d.downloadRAWVideo(dataset="SoccerNet-Tracking") |
| ``` |
|
|
| Directly with `huggingface_hub`: |
|
|
| ```python |
| from huggingface_hub import snapshot_download |
| snapshot_download( |
| repo_id="SoccerNet/SoccerNet-Tracking-RAW-Video", |
| repo_type="dataset", |
| local_dir="path/to/soccernet", |
| ) |
| ``` |
|
|
| Annotations and the development kit for the tracking benchmark are in [`SoccerNet/SN-Tracking-2023`](https://huggingface.co/datasets/SoccerNet/SN-Tracking-2023) and the [SoccerNet GitHub organization](https://github.com/SoccerNet). |
|
|
