施工质量问题图像数据

本数据集主要应用于建筑行业的质量检测和智能监控等领域。数据来源于超过200个不同施工项目，由专业施工单位通过近景相机和全景相机采集。每类施工质量问题的图像数量均超过500个，涉及混凝土、钢筋、脚手架、基坑工程、屋面工程、防水工程、安装工程等等10类质量问题图像。可作为深度学习算法的训练集，实现快速识别施工现场的各种质量问题，从而及时采取措施保障工程质量，提升建筑工程现场的整体管理水平。

This dataset is primarily applied in the fields of quality inspection and intelligent monitoring for the construction industry. The data is collected by professional construction units from over 200 different construction projects using close-range cameras and panoramic cameras. The number of images for each type of construction quality issue exceeds 500, covering 10 categories of quality problem images including concrete, steel bars, scaffolding, foundation pit engineering, roofing engineering, waterproof engineering, installation engineering, and so on. It can serve as a training dataset for deep learning algorithms, enabling rapid identification of various quality issues on construction sites, thereby allowing timely measures to be taken to ensure project quality and improve the overall management level of construction sites.

搜集汇总

背景与挑战

背景概述

该数据集提供基于手机信令大数据推断的网约车司机就业规模数据，适用于金融服务、交通运输和城市治理等领域。数据每月更新，覆盖中国大陆地区。