Meta_Album_MD_5_BIS_Micro

OpenML dataset with id 44252

Ihsan Ullah

Full work available at URL: https://api.openml.org/data/v1/download/22109933/Meta_Album_MD_5_BIS_Micro.arff

Upload date: 12 October 2022
Copyright license: Creative Commons Attribution-NonCommercial 4.0 International

Dataset Characteristics

Number of classes: 0
Number of features: 39 (numeric: 24, symbolic: 1 and in total binary: 1 )
Number of instances: 800
Number of instances with missing values: 0
Number of missing values: 0

Description

Meta-Album OmniPrint-MD-5-bis Dataset (Micro)

* OmniPrint-MD-5-bis dataset consists of 28 240 images (128x128, RGB) from 706 categories. The images are synthesized with OmniPrint, and 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, the foreground is filled with a random color, the background consists of images downloaded from Pexels(https://www.pexels.com/).

Dataset Details

![1]

Meta Album ID: OCR.MD_5_BIS Meta Album URL: https://meta-album.github.io/datasets/MD_5_BIS.html Domain ID: OCR Domain Name: Optical Character Recognition Dataset ID: MD_5_BIS Dataset Name: OmniPrint-MD-5-bis Short Description: Character images with a specific set of nuisance parameters \# Classes: 20 \# Images: 800 Keywords: ocr Data Format: images Image size: 128x128

License (original data release): CC BY 4.0 License URL(original data release): 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: OmniPrint Source URL: https://github.com/SunHaozhe/OmniPrint

Original Author: Haozhe Sun Original contact: sunhaozhe275940200@gmail.com

Meta Album author: Haozhe Sun Created Date: 25 June 2021 Contact Name: Haozhe Sun Contact Email: meta-album@chalearn.org Contact URL: https://meta-album.github.io/

Cite this dataset

``` @inproceedings{sun2021omniprint,

   title={OmniPrint: A Configurable Printed Character Synthesizer},
   author={Haozhe Sun and Wei-Wei Tu and Isabelle M Guyon},
   booktitle={Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 1)},
   year={2021},
   url={https://openreview.net/forum?id=R07XwJPmgpl}

} ```

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**

[Mini]

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