Science Score: 44.0%

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

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Unable to calculate vocabulary similarity
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: neyvivu
  • Language: Python
  • Default Branch: main
  • Size: 1.05 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 2 years ago · Last pushed about 2 years ago
Metadata Files
Readme Citation

README.md

ConversationLanguage

Owner

  • Login: neyvivu
  • Kind: user

Citation (CITATION.cff)

cff-version: 1.2.0
title: "hand-gesture-recognition-using-mediapipe"
authors:
- family-names: "Takahashi"
  given-names: "Shigeki"
  orcid: "https://orcid.org/0000-0002-1343-9181"
date-released: 2020-12-15
message: "If you use 'hand-gesture-recognition-using-mediapipe' in your research, please cite it using these metadata."
url: "https://github.com/Kazuhito00/hand-gesture-recognition-using-mediapipe"
license: Apache-2.0 license

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