交通标识识别和检测数据集

<p>该数据集用于进行进行交通标志检测，包括真实数据和虚幻数据。真实数据对应于从现实世界获取的序列的处理版本。虚幻数据对应于在虚拟环境中生成的合成序列。总共有 5,733 个视频序列，其中包括大约 172 万帧。CURE-TSD交通标识识别和检测数据集</p><p>数据来源：公开网站<a href="https://opendatalab.org.cn/OpenDataLab/CURE-TSD" rel="noopener noreferrer" target="_blank">https://opendatalab.org.cn/OpenDataLab/CURE-TSD</a></p><p>数据规模：5733个视频序列</p><p>数据特点：可用于恶劣环境下的交通标识识别</p><p>应用场景：自动驾驶训练</p>This dataset is designed for traffic sign detection, including both real-world and synthetic data. The real-world data consists of processed versions of sequences collected from the physical world, while the synthetic data corresponds to sequences generated in virtual environments. In total, there are 5,733 video sequences containing approximately 1.72 million frames. This is the CURE-TSD traffic sign recognition and detection dataset. Data Source: Publicly accessible website <a href="https://opendatalab.org.cn/OpenDataLab/CURE-TSD" rel="noopener noreferrer" target="_blank">https://opendatalab.org.cn/OpenDataLab/CURE-TSD</a> Dataset Scale: 5,733 video sequences Dataset Characteristics: Applicable to traffic sign recognition under harsh environmental conditions Application Scenarios: Autonomous driving training