Creators: Aleksey Vilkin and Ilia Safonov, NRNU MEPhI, Moscow, Russia, Date: 2012

Data Set Information:

该数据集用于文本、图片和背景区域文档分类区域的机器学习算法的训练和验证。它包含101张俄文报纸和杂志的扫描图像。大多数图像的分辨率为300 dpi，大小为A4，约为2400x3500像素。对于所有图像，手动创建基于地面真实像素的遮罩。地面真相面具的命名类似于带有后缀的原始图像？。有三类：文本区、图片区、背景。遮罩上颜色为255、0、0（rgb，红色）的像素对应于图片区域，颜色为0、0、255（rgb，蓝色）的像素对应于文本区域，所有其他像素对应于背景。具有不同颜色背景的图像位于数据集中。

Attribute Information:

There are three classes: text area, picture area, background. Pixels on the mask with color 255, 0, 0 (rgb, red color) correspond to picture area, pixels with color 0, 0, 255 (rgb, blue color) correspond to text area, all other pixels correspond to background.

Relevant Papers:

A. M. Vilkin, I. V. Safonov, M. A. Egorova. Algorithm for segmentation of documents based on texture features // Pattern Recognition and Image Analysis March 2013, Volume 23, Issue 1, pp 153-159

Citation Request:

A. M. Vilkin, I. V. Safonov, M. A. Egorova. Algorithm for segmentation of documents based on texture features // Pattern Recognition and Image Analysis March 2013, Volume 23, Issue 1, pp 153-159