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 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  Meta Album ID: OCR.MD_6 Meta Album URL: [https://meta-album.github.io/datasets/MD_6.html](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: 703 \# Images: 28120 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/](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/](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]](https://meta-album.github.io/paper/Meta-Album.pdf) For details on the dataset preprocessing, please see the [[supplementary materials]](https://openreview.net/attachment?id=70_Wx-dON3q&name=supplementary_material) Supporting code can be found on our [[GitHub repo]](https://github.com/ihsaan-ullah/meta-album) Meta-Album on Papers with Code [[Meta-Album]](https://paperswithcode.com/dataset/meta-album) ### Other versions of this dataset [[Micro]](https://www.openml.org/d/44280)