智能视频路内停车精准识别装备研发与测试数据
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数据是研发智能视频路内停车精准识别装备过程中产生的数据和第三方测试数据,包括车牌识别、违法停车自动取证等功能验证数据,路内车位状态检测准确率验证数据、路内停车车牌识别准确率验证数据、流量检测准确率验证数据。装备在研发过程中按照GB35114-2017“公共安全视频监控联网信息安全技术要求”、GB16796-2009“安全防范报警设备安全要求和试验方法”等国家标准,进行装备研发和数据收集等工作,保证数据规范、可靠。由具有CNAS认证的产品质量检验中心测试认可,并依据相关数据分别出具平台软件第三方测试报告。数据量21.3GB。
This dataset comprises data generated during the R&D of intelligent video-based on-street parking accurate recognition equipment, as well as third-party test data. The data covers verification data for multiple functions including license plate recognition and automatic evidence collection for illegal parking, as well as accuracy verification data for on-street parking space status detection, on-street parking license plate recognition, and traffic flow detection. During the equipment development process, R&D and data collection work were conducted in compliance with national standards such as GB 35114-2017 *Technical Requirements for Information Security of Public Security Video Surveillance Networking* and GB 16796-2009 *Safety Requirements and Test Methods for Security and Protection Alarm Equipment*, to ensure the standardization and reliability of the dataset. The data was tested and certified by a CNAS-accredited product quality inspection center, and separate third-party test reports for the platform software were issued based on the relevant data. The total size of the dataset is 21.3 GB.




