教育领域光学字符识别训练模型数据

该数据以答题卡试卷智能识别解决方案为载体，结合教师的需求制定数据搜集以及标注规范，对线上数据进行回收、筛选、分类、清洗并标注之后，可用于深度学习模型训练开发，经过训练的模型最终以云端服务或者边缘端算法方案集成到解决方案内，可提高传统答题卡识别准确度，提高打分准确性。

This dataset is developed based on the intelligent recognition solution for answer sheet papers, with data collection and annotation specifications formulated in line with teachers' practical needs. After online data is collected, screened, classified, cleaned and annotated, it can be used for the training and development of deep learning models. The trained model can be integrated into the solution through cloud services or edge-side algorithm schemes, which can improve the accuracy of traditional answer sheet recognition and scoring.