用于验证行归类准确性的多行字符数据集

主要包含本项目研发的叶片明码识别后处理方法所采用的字符图片，以10度为间隔，构建了包含从水平0度到旋转80度的倾斜字符图片数据。以此为原始数据，通过OCR字符识别和后处理校正生成字符信息文本数据、字符向量图片数据、聚类结果文本数据和字符行归类结果文本数据，数据量58.2Mb。This dataset primarily contains character images used in the post-processing method for blade clear-code recognition developed in this project. Tilted character image datasets were constructed at 10-degree intervals, ranging from 0° (horizontal) to 80° of rotation. Using these as raw data, character information text data, character vector image data, clustering result text data, and character line classification result text data were generated via OCR-based character recognition and post-processing correction. The total size of this dataset is 58.2 Mb.

搜集汇总

背景与挑战

背景概述

该数据集用于验证行归类的准确性，包含从水平到旋转80度的倾斜字符图片，以及通过OCR识别和后处理生成的字符信息文本、向量图片等数据。数据总量为58.2MB，涉及航空、航天科学技术领域。