道路检测的病害识别数据集

该数据集主要包含不同类型的道路病害识别数据，如裂缝、坑洼和车辙等，用于支持道路维护和修复的自动化技术发展。所有数据均合法收集，确保没有危害国家安全、社会公共利益，也未侵犯任何商业秘密或个人隐私。该数据集可用于开发和训练机器学习模型，以提高道路病害检测的准确性和效率。

This dataset primarily contains road defect recognition data of various types, such as cracks, potholes, rutting and other common road defects, to support the development of automated technologies for road maintenance and rehabilitation. All data within the dataset were collected legally, ensuring that no harm is done to national security or public social interests, and that no trade secrets or personal privacy are infringed upon. This dataset can be used to develop and train machine learning models to improve the accuracy and efficiency of road defect detection.

搜集汇总

数据集介绍

特点

道路检测的病害识别数据集由中用科技有限公司申请，包含1097条数据，主要用于自动化和优化道路维护。该数据集通过机器学习模型识别和分类路面病害，如裂缝、坑洞等，适用于城市道路和高速公路的定期检测，旨在提高检测效率和准确性，减少人工成本。