twinsyssy1018 / Total-Text-Dataset

Total Text Dataset - ICDAR 2017. It consists of 1555 images with more than 3 different text orientations: Horizontal, Multi-Oriented, and Curved, one of a kind.

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Total-Text-Dataset

Released on October 27, 2017

Description

In order to facilitate a new text detection research, we introduce the Total-Text dataset (ICDAR2017 paper) (presentation slides), which is more comprehensive than the existing text datasets. The Total-Text consists of 1555 images with more than 3 different text orientations: Horizontal, Multi-Oriented, and Curved, one of a kind.

Citation

If you find this dataset useful for your research, please cite

@inproceedings{CK2017,
  author    = {Chee Kheng Ch’ng and
               Chee Seng Chan},
  title     = {Total-Text: A Comprehensive Dataset for Scene Text Detection and Recognition},
  booktitle = {14th IAPR International Conference on Document Analysis and Recognition {ICDAR}},
  pages     = {},
  year      = {2017},
  doi       = {},
}

Feedback

Suggestions and opinions of this dataset (both positive and negative) are greatly welcome. Please contact the authors by sending email to chngcheekheng at gmail.comor cs.chan at um.edu.my.

Copyright

The Total-Text database is free to the academic community for research purpose usage only.

Copyright 2018, Multimedia Signal Processing Lab, University of Malaya.

About

Total Text Dataset - ICDAR 2017. It consists of 1555 images with more than 3 different text orientations: Horizontal, Multi-Oriented, and Curved, one of a kind.


Languages

Language:MATLAB 100.0%