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od-weapon-detection-sohas-classification

OD-WeaponDetection: Sohas Classification

https://github.com/dataset-ninja/od-weapon-detection-sohas-classification

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
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (0.2%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

OD-WeaponDetection: Sohas Classification

Basic Info
  • Host: GitHub
  • Owner: dataset-ninja
  • License: other
  • Language: Python
  • Default Branch: main
  • Size: 3.87 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 2 years ago · Last pushed 7 months ago
Metadata Files
Readme License Citation

README.md

OD-WeaponDetection: Sohas Classification

OD-WeaponDetection: Sohas Classification is a dataset for classification task.

Owner

  • Name: dataset-ninja
  • Login: dataset-ninja
  • Kind: organization

Citation (CITATION.md) 

If you make use of the OD-WeaponDetection: Sohas Classification data, please cite the following reference:

``` bibtex
@article{article,
  author = {Pérez, Francisco and Tabik, Siham and Castillo Lamas, Alberto and Olmos, Roberto and Fujita, Hamido and Herrera, Francisco},
  year = {2020},
  month = {02},
  pages = {105590},
  title = {Object Detection Binary Classifiers methodology based on deep learning to identify small objects handled similarly: Application in video surveillance},
  volume = {194},
  journal = {Knowledge-Based Systems},
  doi = {10.1016/j.knosys.2020.105590}
}
```

[Source](https://www.researchgate.net/publication/339047403_Object_Detection_Binary_Classifiers_methodology_based_on_deep_learning_to_identify_small_objects_handled_similarly_Application_in_video_surveillance)

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Dependencies

requirements.txt pypi