{
    "data_id": "44310",
    "name": "Meta_Album_MD_6_Mini",
    "exact_name": "Meta_Album_MD_6_Mini",
    "version": 1,
    "version_label": null,
    "description": "## **Meta-Album OmniPrint-MD-6 Dataset (Mini)**\n***\nOmniPrint-MD-6 dataset consists of 28 120 images (128x128, RGB) from 703 categories. The images are synthesized with OmniPrint, no further processing was done. The OmniPrint synthesis parameters are stated as follows: font size is 192, image size is 128, the strength of random perspective transformation is 0.04, left\/right\/top\/bottom margins are all 20% of the image size, the strength of pre-rasterization elastic transformation is 0.035, random translation is activated both horizontally and vertically, image blending method is Poisson Image Editing, rotation is within -60 and 60 degrees, horizontal shear is within -0.5 and 0.5, both foreground and background are images taken from a personal mobile phone.  \n\n\n\n### **Dataset Details**\n![](https:\/\/meta-album.github.io\/assets\/img\/samples\/MD_6.png)\n\n**Meta Album ID**: OCR.MD_6  \n**Meta Album URL**: [https:\/\/meta-album.github.io\/datasets\/MD_6.html](https:\/\/meta-album.github.io\/datasets\/MD_6.html)  \n**Domain ID**: OCR  \n**Domain Name**: Optical Character Recognition  \n**Dataset ID**: MD_6  \n**Dataset Name**: OmniPrint-MD-6  \n**Short Description**: Character images with a specific set of nuisance parameters  \n**\\# Classes**: 703  \n**\\# Images**: 28120  \n**Keywords**: ocr  \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:\/\/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**: OmniPrint  \n**Source URL**: https:\/\/github.com\/SunHaozhe\/OmniPrint  \n  \n**Original Author**: Haozhe Sun  \n**Original contact**: sunhaozhe275940200@gmail.com  \n\n**Meta Album author**: Haozhe Sun  \n**Created Date**: 25 June 2021  \n**Contact Name**: Haozhe Sun  \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@inproceedings{sun2021omniprint,\n    title={OmniPrint: A Configurable Printed Character Synthesizer},\n    author={Haozhe Sun and Wei-Wei Tu and Isabelle M Guyon},\n    booktitle={Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 1)},\n    year={2021},\n    url={https:\/\/openreview.net\/forum?id=R07XwJPmgpl}\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\/44280)  ",
    "format": "arff",
    "uploader": "Meta Album",
    "uploader_id": 30980,
    "visibility": "public",
    "creator": "\"Ihsan Ullah\"",
    "contributor": null,
    "date": "2022-10-28 16:28:54",
    "update_comment": null,
    "last_update": "2022-10-28 16:28:54",
    "licence": "CC BY-NC 4.0",
    "status": "active",
    "error_message": null,
    "url": "https:\/\/api.openml.org\/data\/download\/22111010\/dataset",
    "default_target_attribute": "CATEGORY",
    "row_id_attribute": null,
    "ignore_attribute": null,
    "runs": 0,
    "suggest": {
        "input": [
            "Meta_Album_MD_6_Mini",
            "## **Meta-Album OmniPrint-MD-6 Dataset (Mini)** OmniPrint-MD-6 dataset consists of 28 120 images (128x128, RGB) from 703 categories. The images are synthesized with OmniPrint, no further processing was done. The OmniPrint synthesis parameters are stated as follows: font size is 192, image size is 128, the strength of random perspective transformation is 0.04, left\/right\/top\/bottom margins are all 20% of the image size, the strength of pre-rasterization elastic transformation is 0.035, random tra "
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        "Dimensionality": 0.0016714082503556187,
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        "MajorityClassPercentage": null,
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        "MinorityClassPercentage": null,
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        "NumberOfBinaryFeatures": 1
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        {
            "uploader": "38960",
            "tag": "Chemistry"
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            "uploader": "38960",
            "tag": "Computer Systems"
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