Meta_Album_MD_6_Micro

OpenML dataset with id 44280

Ihsan Ullah

Full work available at URL: https://api.openml.org/data/v1/download/22110980/Meta_Album_MD_6_Micro.arff

Upload date: 28 October 2022
Copyright license: Creative Commons Attribution-NonCommercial 4.0 International

Dataset Characteristics

Number of classes: 0
Number of features: 47 (numeric: 32, 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-6 Dataset (Micro)

* 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 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.

Dataset Details

![1]

Meta Album ID: OCR.MD_6 Meta Album URL: https://meta-album.github.io/datasets/MD_6.html Domain ID: OCR Domain Name: Optical Character Recognition Dataset ID: MD_6 Dataset Name: OmniPrint-MD-6 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**

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