KAIST Scene Text Database

Datasets -> Current Page

Created: 2011-01-11 Last updated: 2011-001-27

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

Example of images and ground truth information in the KAIST dataset.

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 Complex (Korean + English + Number). The scene text in the images is representative of common text in Korean streets or shops.

Related Ground Truth Data

• KAIST Scene Text Ground Truth (text location, segmantation and recognition)

Related Tasks

• Scene Text Localisation in the KAIST Dataset
• Scene Text Segmentation in the KAIST Dataset

References

1. Jehyun Jung, SeongHun Lee, Min Su Cho, and Jin Hyung Kim, “Touch TT: Scene Text Extractor Using Touch Screen Interface“, ETRI Journal 2011
2. 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
      • Shadow (6.87 MB)
      • Light (1.14 MB)
      • Outdoor 1 (21.51 MB), Outdoor 2 (19.79 MB), Outdoor 3 (13.13 MB), Outdoor 4 (13.00 MB), Outdoor 5 (12.86 MB), Outdoor 6 (12.84 MB), Outdoor 7 (13.71 MB), Outdoor 8 (4.52 MB)
      • Indoor 1 (14.14 MB), Indoor 2 (9.52 MB)
      • Night (6.70 MB)
    • Book Cover (6.18 MB)
    • Others (7.93 MB)
  • Mobile Phone
    • Signboard
      • Shadow (645.54 KB)
      • Light (336.4 KB)
      • Outdoor (2.43 MB)
      • Indoor (1.40 MB)
    • Book Cover (18.63 MB)
    • Others (430.55 KB)
• English Language
  • Digital Camera
    • Signboard
      • Shadow (2.16 MB)
      • Light (2.33 MB)
      • Outdoor 1 (8.44 MB), Outdoor 2 (10.53 MB), Outdoor 3 (2.46 MB)
      • Indoor (8.44 MB)
      • Night (2.32 MB)
    • Others (6.17 MB)
  • Mobile Phone
    • Signboard
      • Outdoor (828.2 KB)
      • Indoor (2.36 MB)
    • Light (2.22 MB)
• Mixed Language Content
  • Digital Camera
    • • Shadow (2.18 MB)
      • Light (460.19 KB)
      • Outdoor 1 (24.34 MB), Outdoor 2 (12.01 MB), Outdoor 3 (11.69 MB), Outdoor 4 (11.90 MB), Outdoor 5 (11.73 MB), Outdoor 6 (7.87 MB)
      • Indoor 1 (10.94 MB), Indoor 2 (1.44 MB)
      • Night (4.45 MB)
    • Others (5.13 MB)
  • Mobile Phone
    • Signboard
      • Outdoor (2.42 MB)
      • Indoor (1.72 MB)
    • Book Cover (3.21 MB)

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