TS9VT数据集是面向公路交通调查的九型车数据集。该数据集总共包含12535张高质量图像,这些图像是由部署在云南郊区及乡村道路的监控摄像头在不同的天气条件(晴天、多云、雨天、雪天)和不同的光线条件(白天、傍晚、夜晚)下采集的。数据集涵盖了三个典型的郊区、乡村道路交通场景,给面向交通调查车辆识别检测的算法研究带来了挑战。数据采用人工标注和半自动标注的方法,最终获得59242个边界框。数据集共有10个类别,包含中小客车、小型货车、大客车、中型货车、大型货车、特大型车、集装箱车、拖拉机、摩托车、电动车。我们将数据集分为训练集、验证集、测试集,它们占比为7:1:2。 百度网盘链接:链接:https://pan.baidu.com/s/1QECZBDlVwzw0Qa3uL1tajg 提取码:ft62
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