ShanghaiTechRGBD
收藏IEEE2026-04-17 收录
下载链接：
https://ieee-dataport.org/documents/shanghaitechrgbd
下载链接
链接失效反馈官方服务：
资源简介：
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,
提供机构：
Lian, Dongze
