metadata
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 (recommended):
from SoccerNet.Downloader import SoccerNetDownloader
d = SoccerNetDownloader(LocalDirectory="path/to/soccernet")
d.downloadRAWVideo(dataset="SoccerNet-Tracking")
Directly with huggingface_hub:
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 and the SoccerNet GitHub organization.