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 (0.6%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

DeepSeedling

Basic Info
  • Host: GitHub
  • Owner: dataset-ninja
  • License: other
  • Language: Python
  • Default Branch: main
  • Size: 12.1 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

DeepSeedling: Deep Convolutional Network and Kalman Filter for Plant Seedling Detection and Counting in the Field

DeepSeedling 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 DeepSeedling data, please cite the following reference:

``` bibtex 
@dataset{DeepSeedling,
  author={Yu Jiang and Changying Li and Andrew H. Paterson and Jon S. Robertson},
  title={DeepSeedling: Deep Convolutional Network and Kalman Filter for Plant Seedling Detection and Counting in the Field},
  year={2019},
  url={https://figshare.com/s/616956f8633c17ceae9b}
}
```

[Source](https://figshare.com/s/616956f8633c17ceae9b)

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Dependencies

requirements.txt pypi