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2020年5月13日 · 在 SpaceNet 之前，计算机视觉研究人员获得免费、精确标记和高分辨率卫星图像的选择很少。 SpaceNet 专注于四个开源关键支柱：数据、挑战、算法和工具。 SpaceNet目前有7个数据集，本文我们介绍第3个道路数据集。

2018年10月1日 · The SpaceNet Dataset is hosted as an Amazon Web Services (AWS) Public Dataset. It contains ~67,000 square km of very high-resolution imagery, >11M building footprints, and ~20,000 km of road labels to ensure that there is adequate open source data available for geospatial machine learning research.

2018年7月3日 · Accordingly, the SpaceNet partners (CosmiQ Works, Radiant Solutions, and NVIDIA), released a large corpus of labeled satellite imagery on Amazon Web Services (AWS) called SpaceNet. The SpaceNet partners also launched a series of public prize competitions to encourage improvement of remote sensing machine learning algorithms.

Acquired by SageNet in 2014, Spacenet, Inc. was a provider of VSAT satellite-based data network services as well as hybrid satellite/terrestrial networks and network management services. Spacenet was headquartered in Tysons Corner , Virginia in the United States .

SpaceNet是由CosmiQ Works、Radiant Solutions和NVIDIA合作创建的大型卫星图像数据集，旨在通过机器学习技术加速基础地图的更新。 该数据集包含超过38万个建筑物足迹的标注，并通过亚马逊网络服务（AWS）公开提供。

2017年12月29日 · SpaceNet是DigitalGlobe商业卫星公司提供的遥感图像集合,包含一些标记信息可用作机器学习研究. SpaceNet Challenge主页: https://spacenetchallenge.github.io/ 数据集下载命令: https://github.com/SpaceNetChallenge/utilities/tree/master/content/download_instructions

SpaceNet delivers access to high-quality geospatial data for developers, researchers, and startups. Before SpaceNet, computer vision researchers had minimal options to obtain free, precision-labeled, and high-resolution satellite imagery. SpaceNet focuses on four open source key pillars: data, challenges, algorithms, and tools.

Packages intended to assist in the preprocessing of SpaceNet satellite imagery data corpus to a format that is consumable by machine learning algorithms. SpaceNetChallenge/utilities’s past year of commit activity

2018年10月29日 · 在 SpaceNet 之前，计算机视觉研究人员获得免费、精确标记和高分辨率卫星图像的选择很少。 SpaceNet 专注于四个开源关键支柱：数据、挑战、算法和工具。 SpaceNet目前有7个数据集，本文我们介绍第3个道路数据集。