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

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

DOI retrieved: December 16, 2024

Additional Info

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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