规范标注课程设计
积累多年的实战标注项目案例全面的人工智能数据标注的概念、方法、工具与案例，快速提升数据标注技术水平，掌握工程化数据标注的项目组织、管理和质量控制的技术与方法。
丰富的教学资源
快速熟悉标注基本操作，逐步提升标注能力50套课内实验、20套工程化项目提升标注能力，15套预识别功能实验、200套课外题库，配套还有微课视频、PPT、教材等多种课件形式。
一体化软硬件解决方案
系统架构支持高并发量，响应时间小于2秒
一体化硬件平台（含计算/存储/网络等设备）
硬件满足
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系统架构支持并发用户量1000以上，响应时间小于2秒
10T以上存储能力
支持至少15个自动标注算法的运行
具备数据备份、容灾恢复等功能
自动评分系统数加加Edu支持benchmark基准数据集制作，支持对音、视、图、文和点云等不同模态、不同AI场景的数据设置不同的评分标准和权重，基于探针机制，
实现对学生标注结果自动评分，实验培训和考试模块，学生提交数据即可实时查看评分结果，减轻批改压力。
成功案例
某大专院校人工智能学院
数据堂提供从硬件到数据标注培训系统的一体化解决方案。涵盖了教学、算法、课外实验考试和工程实践等多个教学场景，包括培训平台、微课视频、教学PPT和教材等全方位的教学方案。
某教育行业职高院校数据实训室
数据堂提供AI数据实训室的建设，涵盖数加加标注培训平台建设、包含硬件、实验课程、教材体系等内容，旨在打造以实际标注项目为基础的专业教学平台。
某人工智能教学实验系统
数据堂针对客户需求提供语音合成技术教学实验系统、人脸识别教学科研师范平台以及文本内容分析技术教学实验系统，具备上百个真实标注课程及教学视频，助力人工智能基础服务平台成功搭建。
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