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traffic-light-detection

Source code for the Digital Image Processing class project.

https://github.com/necas209/traffic-light-detection

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
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    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (2.4%) to scientific vocabulary

Keywords

deep-learning traffic-sign-classification yolo
Last synced: 6 months ago · JSON representation ·

Repository

Source code for the Digital Image Processing class project.

Basic Info
  • Host: GitHub
  • Owner: Necas209
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: main
  • Homepage:
  • Size: 48.3 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Topics
deep-learning traffic-sign-classification yolo
Created about 3 years ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

Traffic Light Detection

Source code for the Digital Image Processing class project. This projects concerns with the topic of traffic light detection using object detection deep learning models.

Owner

  • Name: Diogo Medeiros
  • Login: Necas209
  • Kind: user
  • Location: Vila Real, Portugal
  • Company: @neoception

Probably coding in C# or Python.

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Costa Medeiros"
  given-names: "Diogo António"
  orcid: "https://orcid.org/0000-0002-6975-7402"
- family-names: "Batista Dias"
  given-names: "Mariana Filipa"
title: "Traffic Light Detection"
version: 1.0.0
date-released: 2023-01-23
url: "https://github.com/Necas209/Trafic-Light-Detection"

GitHub Events

Total
  • Push event: 2
Last Year
  • Push event: 2