TextSeg is a large-scale text detection and segmentation dataset with fine annotations and a wide range of uses. The dataset includes six types of annotations: word-, character-wise bounding polygons, masks and transcriptions.

Citation

@article{xu2020rethinking,
title={Rethinking Text Segmentation: A Novel Dataset and A Text-Specific Refinement Approach},
author={Xu, Xingqian and Zhang, Zhifei and Wang, Zhaowen and Price, Brian and Wang, Zhonghao and Shi, Humphrey},
journal={arXiv preprint arXiv:2011.14021},
year={2020}
}