![]() ![]() Companies such as Google and Facebook use image recognition technology built on ideas first tested against ImageNet. The SpaceNet Dataset is hosted as an Amazon Web Services (AWS) Public Dataset. SpaceNet is modeled on ImageNet, a collection of 1 million labeled photos that has underpinned image recognition research for years, including recent, huge jumps in its accuracy (see “ The Revolutionary Technique That Quietly Changed Machine Vision Forever”). Potential applications could include estimating economic output from activity in urban areas, or guiding city governments on how to improve services such as trash collections, he says. Mark Johnson, CEO of Descartes Labs, a startup that predicts crop yields from public satellite images, says the new data should be welcome to startups and researchers. That kind of information could be commercially valuable, and help inform health and aid programs, he says. intelligence agencies, humanitarian agencies, and other organizations that today mainly rely on humans to extract data from images.įrazier says it should be possible to train software to do things like map the roads and buildings of shanty towns, track changes to urban infrastructure such as park benches and stop signs, and measure the materials used in roofs and other structures. The company operates four imaging satellites and provides data to U.S. “We need to develop new algorithms for this data,” says Tony Frazier, a senior vice president at DigitalGlobe. Software will be trained to label buildings in satellite images using a data set of images like this one. Nvidia will provide tools to help machine-learning researchers train and test algorithms on the data, and CosmiQ Works, a division of the CIA’s venture arm In-Q-Tel focused on space, is also supporting the project. Amazon will make the SpaceNet data available via its cloud computing service. DigitalGlobe's data is much more detailed than publicly available satellite data such as NASA's, which typically has a resolution of tens of meters. DigitalGlobe says the SpaceNet data set should eventually include high-resolution images of half a million square kilometers of Earth, and that it will add annotations beyond just buildings. ![]()
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