铁路交通信号灯检测和识别的准确数据集

<p>FRSign-铁路交通信号灯检测和识别的准确数据集</p><p>数据来源：公开网站<a href="https://opendatalab.org.cn/OpenDataLab/FRSign" rel="noopener noreferrer" target="_blank">https://opendatalab.org.cn/OpenDataLab/FRSign</a></p><p>数据规模：100,000 多张图像</p><p>数据特点：包含法国铁路交通信号灯及及其相关信息</p><p>应用场景：自动驾驶火车训练</p><p>是一个用于基于视觉的铁路交通信号灯检测和识别的大规模和准确的数据集，它包含 100,000 多张图像，说明了六种类型的法国铁路交通信号灯及其可能的颜色组合，以及有关其采集的相关信息，例如日期、时间、传感器参数和边界框。</p>

<p>FRSign - An Accurate Dataset for Railway Traffic Light Detection and Recognition</p><p>Data Source: Publicly accessible website <a href="https://opendatalab.org.cn/OpenDataLab/FRSign" rel="noopener noreferrer" target="_blank">https://opendatalab.org.cn/OpenDataLab/FRSign</a></p><p>Dataset Scale: Over 100,000 images</p><p>Dataset Characteristics: Includes French railway traffic lights and their associated information</p><p>Application Scenarios: Autonomous rail train training</p><p>This is a large-scale and accurate dataset for vision-based railway traffic light detection and recognition. It contains over 100,000 images covering six types of French railway traffic lights and their possible color combinations, as well as relevant acquisition information such as date, time, sensor parameters and bounding boxes.</p>