ShanghaiTechRGBD

ShanghaiTechRGBD is a large-scale RGB-D crowd counting dataset including 2,293 pairs of RGB-D images, which were annotated with the heads of 144,512 pedestrians. In addition, to facilitate the verification of the algorithm, the dataset is divided into training and testing sets, which contain 1,193 pairs of images and 1,000 pairs of images, respectively. This dataset is derived from the following paper: 1. Locating_and_Counting_Heads_in_Crowds_With_a_Depth_Prior. 2. Density map regression guided detection network for rgb-d crowd counting and localization. To use this dataset, please cite:D. Lian, J. Li, J. Zheng, W. Luo, and S. Gao, “Density map regression guided detection network for rgb-d crowd counting and localization,”in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019, pp. 1821–1830.  D. Lian, X. Chen, J. Li, W. Luo and S. Gao, "Locating and Counting Heads in Crowds With a Depth Prior," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 12, pp. 9056-9072, 1 Dec. 2022,

ShanghaiTechRGBD是一款大规模RGB-D人群计数数据集，共包含2293对RGB-D图像，共计标注144512个行人头部。为便于算法性能验证，该数据集被划分为训练集与测试集，二者分别包含1193对与1000对图像。该数据集源自以下两篇学术论文：1. 《基于深度先验的人群头部定位与计数》（Locating_and_Counting_Heads_in_Crowds_With_a_Depth_Prior）；2. 《用于RGB-D人群计数与定位的密度图回归引导检测网络》（Density map regression guided detection network for rgb-d crowd counting and localization）。使用该数据集时，请引用如下文献：D. Lian、J. Li、J. Zheng、W. Luo及S. Gao, "Density map regression guided detection network for rgb-d crowd counting and localization", in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019, pp. 1821–1830. D. Lian、X. Chen、J. Li、W. Luo及S. Gao, "Locating and Counting Heads in Crowds With a Depth Prior", in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 12, pp. 9056–9072, 1 Dec. 2022.

搜集汇总

背景与挑战

背景概述

ShanghaiTechRGBD是一个大规模RGB-D人群计数数据集，包含2,293对图像和144,512个行人头部标注，分为训练集和测试集，适用于RGB-D/T人群计数算法研究。