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car-brand-recognition

Developed a Python-based image recognition system using YOLO, capable of identifying car models with 85% accuracy. Utilizing Jupyter Notebook for experimentation and development.

https://github.com/talhauysal26dsa/car-brand-recognition

Science Score: 26.0%

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

  • ○
    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
    Low similarity (3.6%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Developed a Python-based image recognition system using YOLO, capable of identifying car models with 85% accuracy. Utilizing Jupyter Notebook for experimentation and development.

Basic Info
  • Host: GitHub
  • Owner: talhauysal26dsa
  • License: agpl-3.0
  • Language: Python
  • Default Branch: main
  • Size: 12.8 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created almost 2 years ago · Last pushed almost 2 years ago
Metadata Files
Readme Contributing License Citation

README.md

This is the YOLO file That I used. You can see in runs section there will be detect.py and train.py . My results and the trained model are there.

Owner

  • Name: Hüseyin Talha Uysal
  • Login: talhauysal26dsa
  • Kind: user
  • Location: İzmir

My name is Hüseyin Talha. I am a Computer Engineering bachelor student at Institute of High Technology.

GitHub Events

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Dependencies

pyproject.toml 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
  • ultralytics >=8.1.47
requirements.txt pypi
  • PyYAML >=5.3.1
  • gitpython >=3.1.30
  • matplotlib >=3.3
  • numpy >=1.23.5
  • opencv-python >=4.1.1
  • pandas >=1.1.4
  • pillow >=10.3.0
  • psutil *
  • requests >=2.32.0
  • scipy >=1.4.1
  • seaborn >=0.11.0
  • setuptools >=65.5.1
  • thop >=0.1.1
  • torchvision >=0.9.0
  • tqdm >=4.64.0