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urban-street-fruit

Tree Dataset of Urban Street: Fruit

https://github.com/dataset-ninja/urban-street-fruit

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
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (0.4%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Tree Dataset of Urban Street: Fruit

Basic Info
  • Host: GitHub
  • Owner: dataset-ninja
  • License: other
  • Language: Python
  • Default Branch: main
  • Size: 4.36 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

Tree Dataset of Urban Street: Fruit Classification

Urban Street: Fruit 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 Urban Street: Fruit data, please cite the following reference:

``` bibtex
@article{YANG2023107852,
  title = {Urban street tree dataset for image classification and instance segmentation},
  journal = {Computers and Electronics in Agriculture},
  volume = {209},
  pages = {107852},
  year = {2023},
  issn = {0168-1699},
  doi = {https://doi.org/10.1016/j.compag.2023.107852},
  url = {https://www.sciencedirect.com/science/article/pii/S0168169923002405},
  author = {Tingting Yang and Suyin Zhou and Zhijie Huang and Aijun Xu and Junhua Ye and Jianxin Yin},
  keywords = {Urban street tree, Tree dataset, Image classification, Instance segmentation, Image segmentation, Tree species identification},
}
```

[Source](https://www.sciencedirect.com/science/article/abs/pii/S0168169923002405?via%3Dihub)

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Dependencies

requirements.txt pypi