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apple-dataset-benchmark-from-orchard-environment

Apple Dataset Benchmark from Orchard Environment in Modern Fruiting Wall

https://github.com/dataset-ninja/apple-dataset-benchmark-from-orchard-environment

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
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    DOI references
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    Academic publication links
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    Institutional organization owner
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (0.6%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Apple Dataset Benchmark from Orchard Environment in Modern Fruiting Wall

Basic Info
  • Host: GitHub
  • Owner: dataset-ninja
  • License: other
  • Language: Python
  • Default Branch: main
  • Size: 10.5 MB
Statistics
  • Stars: 1
  • 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

Apple Dataset Benchmark from Orchard Environment in Modern Fruiting Wall

Apple Dataset Benchmark from Orchard Environment 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 Apple Dataset Benchmark from Orchard Environment data, please cite the following reference:

```bibtex
@misc{BhusalSantosh2019ADBf,
  title = {Apple Dataset Benchmark from Orchard Environment in Modern Fruiting Wall},
  abstract = {Dataset comprises 2,298 images. These zipped files contain images of apple trees with fruits captured during robotic harvesting and yield estimation studies at Washington State University from multiple years, different time of the day and multiple varieties using multiple sensors with modern fruiting wall architecture},
  author = {Bhusal, Santosh and Karkee, Manoj and Zhang, Qin},
  keywords = {Apples;Robotic Harvesting},
  language = {eng},
  publisher = {Washington State University},
  year = {2019},
}
```

[Source](https://hdl.handle.net/2376/17721)

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Dependencies

requirements.txt pypi