{
    "data_id": "44308",
    "name": "Meta_Album_PRT_Mini",
    "exact_name": "Meta_Album_PRT_Mini",
    "version": 1,
    "version_label": null,
    "description": "## **Meta-Album Subcellular Human Protein Dataset (Mini)**\n***\nThis dataset is a subset of the Subcellular dataset in the Protein Atlas project(https:\/\/www.proteinatlas.org\/). The original dataset, which stems from the Human Protein Atlas Image Classification Kaggle competition(https:\/\/www.kaggle.com\/competitions\/human-protein-atlas-image-classification), comprises 31 072 RGBY images of size 512x512 px, each of which belongs to one or more out of 28 classes. The labels correspond to protein organelle localizations. For Meta-Album, we performed two modifications: (1), to turn the dataset into a multi-class dataset, we dropped all images belonging to more than a single class and also those images that belong to classes with less than 40 members; (2) we converted the remaining images into RGB simply by dropping the yellow channel; this was also a common practice in the competition. Finally, and as for all datasets in Meta-Album, the images from the original dataset were resized to 128x128 image size.  \n\n\n\n### **Dataset Details**\n![](https:\/\/meta-album.github.io\/assets\/img\/samples\/PRT.png)\n\n**Meta Album ID**: MCR.PRT  \n**Meta Album URL**: [https:\/\/meta-album.github.io\/datasets\/PRT.html](https:\/\/meta-album.github.io\/datasets\/PRT.html)  \n**Domain ID**: MCR  \n**Domain Name**: Microscopy  \n**Dataset ID**: PRT  \n**Dataset Name**: Subcellular Human Protein  \n**Short Description**: Subcellular protein patterns in human cells  \n**\\# Classes**: 21  \n**\\# Images**: 840  \n**Keywords**: human protein, subcellular  \n**Data Format**: images  \n**Image size**: 128x128  \n\n**License (original data release)**: CC BY-SA 3.0  \n**License URL(original data release)**: https:\/\/www.proteinatlas.org\/about\/licence\n \n**License (Meta-Album data release)**: CC BY-SA 3.0  \n**License URL (Meta-Album data release)**: [https:\/\/www.proteinatlas.org\/about\/licence](https:\/\/www.proteinatlas.org\/about\/licence)  \n\n**Source**: The Human Protein Atlas  \n**Source URL**: https:\/\/proteinatlas.org  \nhttps:\/\/www.kaggle.com\/c\/human-protein-atlas-image-classification  \n  \n**Original Author**: Peter J Thul, Lovisa Akesson, Mikaela Wiking, Diana Mahdessian, Aikaterini Geladaki, Hammou Ait Blal, Tove Alm, Anna Asplund, Lars Bjork, Lisa Breckels, and others  \n**Original contact**: contact@proteinatlas.org  \n\n**Meta Album author**: Felix Mohr  \n**Created Date**: 01 June 2022  \n**Contact Name**: Felix Mohr  \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{thul2017subcellular, \n  title={A subcellular map of the human proteome},\n  author={Thul, Peter J and Akesson, Lovisa and Wiking, Mikaela and Mahdessian, Diana and Geladaki, Aikaterini and Ait Blal, Hammou and Alm, Tove and Asplund, Anna and Bjork, Lars and Breckels, Lisa M},\n  journal={Science},\n  volume={356},\n  number={6340},\n  year={2017},\n  publisher={American Association for the Advancement of Science}\n}\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\/44278)  [[Extended]](https:\/\/www.openml.org\/d\/44342)  ",
    "format": "arff",
    "uploader": "Meta Album",
    "uploader_id": 30980,
    "visibility": "public",
    "creator": "\"Ihsan Ullah\"",
    "contributor": null,
    "date": "2022-10-28 16:28:42",
    "update_comment": null,
    "last_update": "2022-10-28 16:28:42",
    "licence": "CC BY-NC 4.0",
    "status": "active",
    "error_message": null,
    "url": "https:\/\/api.openml.org\/data\/download\/22111008\/dataset",
    "default_target_attribute": "CATEGORY",
    "row_id_attribute": null,
    "ignore_attribute": null,
    "runs": 0,
    "suggest": {
        "input": [
            "Meta_Album_PRT_Mini",
            "## **Meta-Album Subcellular Human Protein Dataset (Mini)** This dataset is a subset of the Subcellular dataset in the Protein Atlas project(https:\/\/www.proteinatlas.org\/). The original dataset, which stems from the Human Protein Atlas Image Classification Kaggle competition(https:\/\/www.kaggle.com\/competitions\/human-protein-atlas-image-classification), comprises 31 072 RGBY images of size 512x512 px, each of which belongs to one or more out of 28 classes. The labels correspond to protein organell "
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    "qualities": {
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        "NumberOfInstancesWithMissingValues": 840,
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    "tags": [
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            "tag": "Chemistry"
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