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tomatod

tomatOD is a dataset for tomato fruit localization and ripening classification

https://github.com/dataset-ninja/tomatod

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 (0.4%) to scientific vocabulary
Last synced: 9 months ago · JSON representation ·

Repository

tomatOD is a dataset for tomato fruit localization and ripening classification

Basic Info
  • Host: GitHub
  • Owner: dataset-ninja
  • License: other
  • Language: Python
  • Default Branch: main
  • Size: 39 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 3 years ago · Last pushed 10 months ago
Metadata Files
Readme License Citation

README.md

tomatOD: Tomato Fruit Localization and Ripening Classification

tomatOD is a dataset for object detection task.

Owner

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

Citation (CITATION.md) 

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

```APA
Tsironis V., Bourou S., Stentoumis C. (2020). tomatOD: Evaluation of object detection algorithms on a new real-world tomato dataset. In ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Available from https://github.com/up2metric/tomatOD 
```

[Source](https://github.com/up2metric/tomatOD#citations)

GitHub Events

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

Dependencies

requirements.txt pypi
  • dataset-tools ==0.0.9
  • gdown *
  • supervisely ==6.72.19