goalhighlighter.ai

Automatically extracts goal highlights from football match videos using AI-powered ball tracking, scoreboard detection and crowd cheer analysis.

https://github.com/chadvik88/goalhighlighter.ai

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

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CITATION.cff file
Found CITATION.cff file
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codemeta.json file
Found codemeta.json file
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.zenodo.json file
Found .zenodo.json file
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DOI references
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Academic links in README
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Academic email domains
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Institutional organization owner
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JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (0.9%) to scientific vocabulary

Last synced: 10 months ago · JSON representation ·

Repository

Automatically extracts goal highlights from football match videos using AI-powered ball tracking, scoreboard detection and crowd cheer analysis.

Basic Info

Host: GitHub
Owner: chadvik88
License: agpl-3.0
Language: Python
Default Branch: main
Size: 16.1 MB

Statistics

Stars: 1
Watchers: 1
Forks: 0
Open Issues: 0
Releases: 0

Created over 1 year ago · Last pushed 11 months ago

Metadata Files

Readme Contributing License Citation

Owner

Login: chadvik88
Kind: user

Repositories: 1
Profile: https://github.com/chadvik88

Citation (CITATION.cff)

cff-version: 1.2.0
preferred-citation:
  type: software
  message: If you use YOLOv5, please cite it as below.
  authors:
  - family-names: Jocher
    given-names: Glenn
    orcid: "https://orcid.org/0000-0001-5950-6979"
  title: "YOLOv5 by Ultralytics"
  version: 7.0
  doi: 10.5281/zenodo.3908559
  date-released: 2020-5-29
  license: AGPL-3.0
  url: "https://github.com/ultralytics/yolov5"

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