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disease-detection-in-fruit-images

Region Aggregated Attention CNN for Disease Detection in Fruit Images

https://github.com/dataset-ninja/disease-detection-in-fruit-images

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
  • ○
    Academic publication links
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    Academic email domains
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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

Region Aggregated Attention CNN for Disease Detection in Fruit Images

Basic Info
  • Host: GitHub
  • Owner: dataset-ninja
  • License: other
  • Language: Python
  • Default Branch: main
  • Size: 100 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

Dataset: Region Aggregated Attention CNN for Disease Detection in Fruit Images

Disease Detection in Fruit Images 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 Disease Detection in Fruit Images data, please cite the following reference:

``` bibtex 
@dataset{Disease Detection in Fruit Images,
	author={chhan95},
	title={Dataset: Region Aggregated Attention CNN for Disease Detection in Fruit Images},
	year={2021},
	url={https://github.com/QuIIL/Dataset-Region-Aggregated-Attention-CNN-for-Disease-Detection-in-Fruit-Images}
}
```

[Source](https://github.com/QuIIL/Dataset-Region-Aggregated-Attention-CNN-for-Disease-Detection-in-Fruit-Images)

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Dependencies

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