Difference between revisions of "KAIST Scene Text Database"
(→Description) |
|||
| Line 41: | Line 41: | ||
The KAIST scene text dataset comprises 3000 images captured in different environments, including outdoors and indoors scenes under different lighting conditions (clear day, night, strong artificial lights, etc). Images were captured either by the use of a high-resolution digital camera or a low-resolution mobile phone camera. All images have been resized to 640x480. | The KAIST scene text dataset comprises 3000 images captured in different environments, including outdoors and indoors scenes under different lighting conditions (clear day, night, strong artificial lights, etc). Images were captured either by the use of a high-resolution digital camera or a low-resolution mobile phone camera. All images have been resized to 640x480. | ||
| − | The KAIST scene text database is categorized according to the language of the scene text captured: Korean, English (Number), and | + | The KAIST scene text database is categorized according to the language of the scene text captured: Korean, English (Number), and Miced (Korean + English + Number). The scene text in the images is representative of common text in Korean streets or shops. |
=Related Ground Truth Data= | =Related Ground Truth Data= | ||
Revision as of 11:53, 28 January 2011
Datasets -> Datasets List -> Current Page
|
Contents
Contact Author
Prof. Jin Hyung Kim Artificial Intelligence and Pattern Recognition Lab, Computer Science Department of KAIST, KOREA Tel: 82-42-350-3517 Email: Jkim @ kaist.ac.kr
SeongHun Lee Artificial Intelligence and Pattern Recognition Lab, Computer Science Department of KAIST, KOREA Email: leesh @ ai.kaist.ac.kr
License
This work is licensed under a Creative Commons Attribution-ShareAlike License
Current Version
1.0
Keywords
Scene Text, Korean, English, Signboard, Mobile phone image, Indoor image, Outdoor image
Description
The KAIST scene text dataset comprises 3000 images captured in different environments, including outdoors and indoors scenes under different lighting conditions (clear day, night, strong artificial lights, etc). Images were captured either by the use of a high-resolution digital camera or a low-resolution mobile phone camera. All images have been resized to 640x480.
The KAIST scene text database is categorized according to the language of the scene text captured: Korean, English (Number), and Miced (Korean + English + Number). The scene text in the images is representative of common text in Korean streets or shops.
Related Ground Truth Data
Related Tasks
References
- Jehyun Jung, SeongHun Lee, Min Su Cho, and Jin Hyung Kim, “Touch TT: Scene Text Extractor Using Touch Screen Interface“, ETRI Journal 2011
- SeongHun Lee, Min Su Cho, Kyomin Jung, and Jin Hyung Kim, "Scene Text Extraction with Edge Constraint and Text Collinearity Link," 20th International Conference on Pattern Recognition (ICPR), August 2010, Istanbul, Turkey.
Submitted Files
Version 1.0
- Korean Language
- Digital Camera
- Signboard
- Book Cover (6.18 MB)
- Others (7.93 MB)
- Mobile Phone
- Digital Camera
- English Language
- Mixed Language Content
- Digital Camera
- Mobile Phone
- Signboard
- Book Cover (3.21 MB)
This page is editable only by TC11 Officers .