米
中国
计算机科学
人工智能
地理
考古
物理
天文
作者
Xin Huang,Zhen Zhang,Jiayi Li
出处
期刊:CERN European Organization for Nuclear Research - Zenodo
日期:2024-01-10
标识
DOI:10.5281/zenodo.10043351
摘要
Download Due to Zenodo's file size limitations, we are releasing different parts of CBF and GBD in different versions. See the below for specific information: 1. China's first sub-meter building footprints (CBF) derived by deep learning: part1: version12 (v12), City 1 to 210, https://doi.org/10.5281/zenodo.10473278 part2: version13 (v13), City 211 to 356, https://doi.org/10.5281/zenodo.10475803 (current version) 2. Global Building Dataset (GBD): This dataset comprises approximately 800,000 images with diverse architectural styles worldwide. It can be served as training and test samples for building extraction in different regions globally. Version description link v1 All labels. Images of Africa, Australia, and South America. https://zenodo.org/records/10043352 v2 image of Asia (part 1 to 30 of 53). https://zenodo.org/records/10456238 v3 image of Asia (part 31 to 53 of 53). https://zenodo.org/records/10457368 v4 image of Europe (part 1 to 21 of 58). https://zenodo.org/records/10458273 v5 image of Europe (part 21 to 42 of 58). https://zenodo.org/records/10460868 v6 image of Europe (part 43 to 58 of 58). https://zenodo.org/records/10462506 v7 image of North America (part 1 to 20 of 93). https://zenodo.org/records/10463385 v8 image of North America (part 21 to 40 of 93). https://zenodo.org/records/10465076 v9 image of North America (part 41 to 60 of 93). https://zenodo.org/records/10466569 v10 image of North America (part 61 to 80 of 93). https://zenodo.org/records/10467291 v11 image of North America (part 81 to 93 of 93). https://zenodo.org/records/10471557
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