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Meta_Album_MED_LF_Mini - MaRDI portal

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Meta_Album_MED_LF_Mini

From MaRDI portal
Dataset:6037294



OpenML44299MaRDI QIDQ6037294

OpenML dataset with id 44299

Author name not available (Why is that?)

Full work available at URL: https://api.openml.org/data/v1/download/22110999/Meta_Album_MED_LF_Mini.arff

Upload date: 28 October 2022
Copyright license: No records found.



Dataset Characteristics

Number of classes: 25
Number of features: 3 (numeric: 1, symbolic: 0 and in total binary: 0 )
Number of instances: 1,000
Number of instances with missing values: 1,000
Number of missing values: 1,000

Meta-Album Medicinal Leaf Dataset (Mini)

* The Medicinal Leaf Database(https://data.mendeley.com/datasets/nnytj2v3n5/1) gathers 30 species of healthy and mature medicinal herbs. The leaves are plucked from different plants of the same species, then placed on a white uniform background. There are around 1 800 images in total, captured with a mobile phone camera. The original resolution is 1 600x1 200 px. We create Medleaf for Meta-Album by cropping them at the center and resize to 128x128 px.


Dataset Details

![1]

Meta Album ID: PLT_DIS.MED_LF Meta Album URL: https://meta-album.github.io/datasets/MED_LF.html Domain ID: PLT_DIS Domain Name: Plant Diseases Dataset ID: MED_LF Dataset Name: Medicinal Leaf Short Description: Healthy Medicinal Leaf \# Classes: 25 \# Images: 1000 Keywords: medicinal leaf, plants, plant diseases Data Format: images Image size: 128x128

License (original data release): CC BY 4.0 License URL(original data release): https://data.mendeley.com/datasets/nnytj2v3n5/1 https://creativecommons.org/licenses/by/4.0/

License (Meta-Album data release): CC BY 4.0 License URL (Meta-Album data release): https://creativecommons.org/licenses/by/4.0/

Source: Medicinal Leaf Dataset Source URL: https://data.mendeley.com/datasets/nnytj2v3n5/1

Original Author: S Roopashree, J Anitha Original contact:

Meta Album author: Phan Anh VU Created Date: 01 March 2022 Contact Name: Ihsan Ullah Contact Email: meta-album@chalearn.org Contact URL: https://meta-album.github.io/


Cite this dataset

```

@article{s_j_2020, 
    title={Medicinal Leaf Dataset}, 
    url={https://data.mendeley.com/datasets/nnytj2v3n5/1}, 
    author={S, Roopashree and J, Anitha}, 
    year={2020}, 
    month={Oct},
    doi={10.17632/nnytj2v3n5.1},
    version={1},
    publisher={Mendeley Data}   

} ```


Cite Meta-Album

``` @inproceedings{meta-album-2022,

       title={Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification},
       author={Ullah, Ihsan and Carrion, Dustin and Escalera, Sergio and Guyon, Isabelle M and Huisman, Mike and Mohr, Felix and van Rijn, Jan N and Sun, Haozhe and Vanschoren, Joaquin and Vu, Phan Anh},
       booktitle={Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track},
       url = {https://meta-album.github.io/},
       year = {2022}
   }

```


More

For more information on the Meta-Album dataset, please see the [NeurIPS 2022 paper] For details on the dataset preprocessing, please see the [supplementary materials] Supporting code can be found on our [GitHub repo] Meta-Album on Papers with Code [Meta-Album]


Other versions of this dataset**

[Micro] [Extended]






This page was built for dataset: Meta_Album_MED_LF_Mini