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ilsung-yolov8

https://github.com/jk9169/ilsung-yolov8

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
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    DOI references
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    Academic publication links
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    Academic email domains
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    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (2.8%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: jk9169
  • License: agpl-3.0
  • Language: Python
  • Default Branch: main
  • Size: 33.8 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 2 years ago · Last pushed about 2 years ago
Metadata Files
Readme Contributing License Citation Security

README.md

ilsung-yolov8

경북대학교 인공지능 혁신융합대학 사업단 산학 프로젝트

CCTV현장 안전 인공지능 시스템 - (주)일성하이스코와 진행

Datasets: (주)일성하이스코의 IP카메라 2대로부터 원천 데이터 수집. 메타 데이터 annotation 작업을 위해 cvat.ai 사용
● class: {helmetperson, nonhelmet_person}
● total image: 4052, train : val = 9 : 1

Model: YOLOv8
● Yolov8n
● Yolov8s

Owner

  • Name: Jegeun-Lee
  • Login: jk9169
  • Kind: user
  • Company: Kyungpook National University

Citation (CITATION.cff) 

cff-version: 1.2.0
preferred-citation:
  type: software
  message: If you use this software, please cite it as below.
  authors:
  - family-names: Jocher
    given-names: Glenn
    orcid: "https://orcid.org/0000-0001-5950-6979"
  - family-names: Chaurasia
    given-names: Ayush
    orcid: "https://orcid.org/0000-0002-7603-6750"
  - family-names: Qiu
    given-names: Jing
    orcid: "https://orcid.org/0000-0003-3783-7069"
  title: "YOLO by Ultralytics"
  version: 8.0.0
  # doi: 10.5281/zenodo.3908559  # TODO
  date-released: 2023-1-10
  license: AGPL-3.0
  url: "https://github.com/ultralytics/ultralytics"

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Dependencies

docker/Dockerfile docker
  • pytorch/pytorch 2.1.0-cuda12.1-cudnn8-runtime build
requirements.txt pypi
  • matplotlib >=3.3.0
  • numpy >=1.22.2
  • opencv-python >=4.6.0
  • pandas >=1.1.4
  • pillow >=7.1.2
  • psutil *
  • py-cpuinfo *
  • pyyaml >=5.3.1
  • requests >=2.23.0
  • scipy >=1.4.1
  • seaborn >=0.11.0
  • thop >=0.1.1
  • torch >=1.8.0
  • torchvision >=0.9.0
  • tqdm >=4.64.0
setup.py pypi