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路标检测数据集-最新.zip
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近年来,计算机视觉和深度学习的进步彻底改变了目标检测领域,在各个领域实现了广泛的应用。道路安全是一项重要的应用,准确、高效的物体检测在预防事故和改善交通管理方面发挥着至关重要的作用。为了解决该领域特有的挑战,研究人员和开发人员创建了专门为道路相关物体检测任务量身定制的专用数据集。在这些数据集中,ROAD MARK 数据集作为训练和评估对象检测模型的全面且有价值的资源脱颖而出。 ROAD MARK 数据集是带注释的图像和视频的精选集合,专注于检测和分类道路标记及相关对象。它涵盖了道路上遇到的各种场景,包括高速公路、城市街道和农村地区,使其高度代表现实世界的情况。该数据集包括各种类型的道路标记,例如车道线、箭头、人行横道、限速标志以及交通灯和障碍物等其他相关对象。 该数据集包含 2892 个样本,该数据集(如图所示)被正确地分为三个部分:Train、Valid、Test!
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路标检测数据集-最新.zip (2000个子文件)
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