{ "data_id": "44332", "name": "Meta_Album_MED_LF_Extended", "exact_name": "Meta_Album_MED_LF_Extended", "version": 1, "version_label": null, "description": "## **Meta-Album Medicinal Leaf Dataset (Extended)**\n***\nThe 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. \n\n\n\n### **Dataset Details**\n![](https:\/\/meta-album.github.io\/assets\/img\/samples\/MED_LF.png)\n\n**Meta Album ID**: PLT_DIS.MED_LF \n**Meta Album URL**: [https:\/\/meta-album.github.io\/datasets\/MED_LF.html](https:\/\/meta-album.github.io\/datasets\/MED_LF.html) \n**Domain ID**: PLT_DIS \n**Domain Name**: Plant Diseases \n**Dataset ID**: MED_LF \n**Dataset Name**: Medicinal Leaf \n**Short Description**: Healthy Medicinal Leaf \n**\\# Classes**: 26 \n**\\# Images**: 1596 \n**Keywords**: medicinal leaf, plants, plant diseases \n**Data Format**: images \n**Image size**: 128x128 \n\n**License (original data release)**: CC BY 4.0 \n**License URL(original data release)**: https:\/\/data.mendeley.com\/datasets\/nnytj2v3n5\/1\nhttps:\/\/creativecommons.org\/licenses\/by\/4.0\/\n \n**License (Meta-Album data release)**: CC BY 4.0 \n**License URL (Meta-Album data release)**: [https:\/\/creativecommons.org\/licenses\/by\/4.0\/](https:\/\/creativecommons.org\/licenses\/by\/4.0\/) \n\n**Source**: Medicinal Leaf Dataset \n**Source URL**: https:\/\/data.mendeley.com\/datasets\/nnytj2v3n5\/1 \n \n**Original Author**: S Roopashree, J Anitha \n**Original contact**: \n\n**Meta Album author**: Phan Anh VU \n**Created Date**: 01 March 2022 \n**Contact Name**: Ihsan Ullah \n**Contact Email**: meta-album@chalearn.org \n**Contact URL**: [https:\/\/meta-album.github.io\/](https:\/\/meta-album.github.io\/) \n\n\n\n### **Cite this dataset**\n```\n @article{s_j_2020, \n title={Medicinal Leaf Dataset}, \n url={https:\/\/data.mendeley.com\/datasets\/nnytj2v3n5\/1}, \n author={S, Roopashree and J, Anitha}, \n year={2020}, \n month={Oct},\n doi={10.17632\/nnytj2v3n5.1},\n version={1},\n publisher={Mendeley Data} \n} \n```\n\n\n### **Cite Meta-Album**\n```\n@inproceedings{meta-album-2022,\n title={Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification},\n 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},\n booktitle={Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track},\n url = {https:\/\/meta-album.github.io\/},\n year = {2022}\n }\n```\n\n\n### **More**\nFor more information on the Meta-Album dataset, please see the [[NeurIPS 2022 paper]](https:\/\/meta-album.github.io\/paper\/Meta-Album.pdf) \nFor details on the dataset preprocessing, please see the [[supplementary materials]](https:\/\/openreview.net\/attachment?id=70_Wx-dON3q&name=supplementary_material) \nSupporting code can be found on our [[GitHub repo]](https:\/\/github.com\/ihsaan-ullah\/meta-album) \nMeta-Album on Papers with Code [[Meta-Album]](https:\/\/paperswithcode.com\/dataset\/meta-album) \n\n\n\n### **Other versions of this dataset**\n[[Micro]](https:\/\/www.openml.org\/d\/44314) [[Mini]](https:\/\/www.openml.org\/d\/44299) ", "format": "arff", "uploader": "Meta Album", "uploader_id": 30980, "visibility": "public", "creator": "\"Ihsan Ullah\"", "contributor": null, "date": "2022-11-08 18:28:03", "update_comment": null, "last_update": "2022-11-08 18:28:03", "licence": "CC BY-NC 4.0", "status": "active", "error_message": null, "url": "https:\/\/api.openml.org\/data\/download\/22111046\/dataset", "kaggle_url": null, "default_target_attribute": "CATEGORY", "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "Meta_Album_MED_LF_Extended", "## **Meta-Album Medicinal Leaf Dataset (Extended)** 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 128x12 " ], "weight": 5 }, "qualities": { "NumberOfInstances": 1596, "NumberOfFeatures": 3, "NumberOfClasses": 26, "NumberOfMissingValues": 1596, "NumberOfInstancesWithMissingValues": 1596, "NumberOfNumericFeatures": 1, "NumberOfSymbolicFeatures": 0, "PercentageOfBinaryFeatures": 0, "PercentageOfInstancesWithMissingValues": 100, "PercentageOfMissingValues": 33.33333333333333, "AutoCorrelation": 1, "PercentageOfNumericFeatures": 33.33333333333333, "Dimensionality": 0.0018796992481203006, "PercentageOfSymbolicFeatures": 0, "MajorityClassPercentage": 7.644110275689223, "MajorityClassSize": 122, "MinorityClassPercentage": 0.8771929824561403, "MinorityClassSize": 14, "NumberOfBinaryFeatures": 0 }, "tags": [], "features": [ { "name": "CATEGORY", "index": "1", "type": "string", "distinct": "26", "missing": "0", "target": "1" }, { "name": "FILE_NAME", "index": "0", "type": "string", "distinct": "1596", "missing": "0" }, { "name": "SUPER_CATEGORY", "index": "2", "type": "numeric", "distinct": "0", "missing": "1596", "min": "2147483647", "max": "0", "mean": "0", "stdev": "0" } ], "nr_of_issues": 0, "nr_of_downvotes": 0, "nr_of_likes": 0, "nr_of_downloads": 0, "total_downloads": 0, "reach": 0, "reuse": 0, "impact_of_reuse": 0, "reach_of_reuse": 0, "impact": 0 }