基于无人机近景监测的徐州市汉王建筑垃圾固废场影像数据V1.0(2022)

本数据集通过采用无人机近景监测手段，采集了徐州市汉王建筑垃圾固废堆场影像，并组成固废堆场影像数据集。通过让无人机在不同时段、不同飞行高度以及不同角度对固废堆场进行倾斜摄影作业，来增加影像的时间（光照强度）多样性和空间多样性，保证算法训练结果的周密性、全面性。该数据集可为建筑垃圾堆场体量识别提供样本案例，有助于训练并验证相关算法精度。

This dataset consists of images of construction waste solid waste storage yards in Hanwang, Xuzhou, collected through close-range unmanned aerial vehicle (UAV) monitoring. To enhance the temporal (illumination intensity-related) and spatial diversity of the images, oblique photography operations were conducted by the UAV over the solid waste storage yards at different time periods, flight altitudes and angles, so as to ensure the comprehensiveness and thoroughness of the algorithm training outcomes. This dataset can provide sample cases for volume recognition of construction waste storage yards, and assist in training and verifying the accuracy of relevant algorithms.

搜集汇总

背景与挑战

背景概述

该数据集是2022年3月21日通过无人机近景监测和倾斜摄影技术采集的徐州市汉王建筑垃圾固废场影像数据，旨在增加图像时空多样性以支持算法训练。数据集主要用于建筑垃圾堆场体积识别的样本案例，可帮助验证相关算法，其生成的体积算法准确率超过80%。