fruit-recognition

Fruit Recognition

https://github.com/dataset-ninja/fruit-recognition

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
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codemeta.json file
Found codemeta.json file
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.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
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JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (0.2%) to scientific vocabulary

Last synced: 6 months ago · JSON representation ·

Repository

Fruit Recognition

Basic Info

Host: GitHub
Owner: dataset-ninja
License: other
Language: Python
Default Branch: main
Size: 3.22 MB

Statistics

Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Releases: 0

Created over 2 years ago · Last pushed 6 months ago

Metadata Files

Readme License Citation

README.md

Fruit Recognition Dataset

Fruit Recognition is a dataset for classification task.

Owner

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

Repositories: 1
Profile: https://github.com/dataset-ninja

Citation (CITATION.md)

If you make use of the Fruit Recognition data, please cite the following reference:

``` bibtex
@dataset{israr_hussain_2018_1310165,
  author       = {Israr Hussain, and
                  Qianhua He and
                  Zhuliang Chen and
                  Wei Xie},
  title        = {Fruit Recognition dataset},
  month        = jul,
  year         = 2018,
  publisher    = {Zenodo},
  version      = {V 1.0},
  doi          = {10.5281/zenodo.1310165},
  url          = {https://doi.org/10.5281/zenodo.1310165}
}
```

[Source](https://zenodo.org/record/1310165/export/hx)

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Dependencies

requirements.txt pypi

ecosyste.ms

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Open Source Science