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ICDAR 2017 MLT

ICDAR 2017 MLT is a large scale multi-lingual text dataset, which includes 7200 training images, 1800 validation images and 9000 testing images. The dataset is composed of complete scene images which come from 9 languages, and text regions in this dataset can be in arbitrary orientations.

Data and Resources

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Cite this as

Xuebo Liu, Ding Liang, Shi Yan, Dagui Chen, Yu Qiao, Junjie Yan (2024). Dataset: ICDAR 2017 MLT. https://doi.org/10.57702/ody1o6hl

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It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.1801.01671
Author	Xuebo Liu
More Authors	Ding Liang Shi Yan Dagui Chen Yu Qiao Junjie Yan
Homepage	https://github.com/xhzdeng/stela