WebCHN6-CUG contains 4511 labeled images of 512×512 size, divided into 3608 for model training and 903 for testing and result evaluation, with a resolution of 50 cm/pixel. The original data set is... WebMay 1, 2024 · There are various types of roads in the CHN6-CUG Roads Dataset, which almost cover roads under various complex scenes, as shown in Fig. 3, including urban road, forest road, country road, factories and mines road, built-up road, railway crossing, overpass, viaduct, and intersection.
CUG-URS/CHN6-CUG-Roads-Dataset - Github
CHN6-CUG-Roads-Dataset Version 1.0 1.Overview To advance the state of the arts in road extraction, CHN6-CUG Roads Dataset is constructed, which is a manually labeled pixel-level VHR satellite imagery. This data set is a new largescale satellite image data set of representative cities in China. See more To advance the state of the arts in road extraction, CHN6-CUG Roads Dataset is constructed, which is a manually labeled pixel-level VHR … See more If you have any problem in using the CHN6-CUG Roads Dataset, please contact: [email protected] For any possible research collaboration, please contact Prof. … See more dataset tree: We collected typical areas of six cities in China from Google Earth. The images are with 50 cm/pixel spatial resolution. Please note that we do not own the copyrights to … See more Web3 multi-label classification datasets; 9 object tracking datasets; 3 image caption datasets; 8 image generation datasets. Visit Remote Sensing Data Set Summary for more information. Dataset of Special Contribution The CHN6-CUG dataset is provided by Professor Qiqi Zhu from China University of Geosciences. smith and wesson 459 review
Qiqi Zhu Home Publicly Sharing Dataset 中国地质大学
WebMay 1, 2024 · CHN6-CUG Roads Dataset is established to provide a better data resource for studying the road of China. Besides, to assess the transferability of the proposed model, a set of representative methods are evaluated on the proposed dataset. WebApr 12, 2024 · 我在查看paddleseg基础教程的时候突然发现一个问题:paddleseg目前还不支持chn6-cug,目录结构下PaddleSeg-paddleseg-datasets下为数不多的.py文件,我还是使用的deepglobe.py,不是非常确定目前在训练的数据集虽然把路径换成了chn6-cug,会不会与原本的deepglobe数据集训练出来 ... http://grzy.cug.edu.cn/zhuqiqi/en/yjgk/32384/list/index.htm smith and wesson 459 9mm