Search for more information about the company SpaceNet AG. 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. The SpaceNet DataCenter is a data center of the future in which the next modules can be individually planned and tailored to customer requirements. With Tier 4 and a PUE below 1.2, extremely high energy efficiency is guaranteed.
SPACENET 2 ISO
It is ist third datacenter will be one of the most advanced data centers in Europe, EN 50600 and ISO 27001 certified. Due to the ever-increasing demand in times of big data, digitization and IoT, SpaceNet is significantly expanding its colocation services and is building a new data center in Kirchheim near Munich with its subsidiary SDC SpaceNet DataCenter GmbH & Co KG. Since 1993 on the market, the company offers a comprehensive range of products and services for business customers: Managed Hosting, Public Cloud, Private Cloud, Hybrid Cloud, Colocation, IT Security Solutions, Connections, Web Sites, Custom Web Programming, etc. ScoreboardĬurrently there are only 2 members out of the 1,000+ that are registered that have successfully submitted.SpaceNet AG is an Internet service provider of the first hour. **To win the Early Incentive your solution must be the first to reach a threshold of 400,000 for the average F-score of all the cities. Here is the prize list for this particular Marathon Match: Prize Not only are Topcoder members using their algorithm skills to improve the way we use satellite imagery, but they are also making bank.
SPACENET 2 CODE
SPACENET 2 FREE
This contest is the second edition of the SpaceNet building footprint detection challenge. Espacenet: free access to millions of patent documents. Spacenet was headquartered in Tysons Corner, Virginia in the United States. was a provider of VSAT satellite-based data network services as well as hybrid satellite/terrestrial networks and network management services. Moving toward more accurate, fully automated extraction of buildings will help bring innovation to computer vision methodologies applied to high-resolution satellite imagery, and ultimately help create better maps where they are most needed. Acquired by SageNet in 2014, Spacenet, Inc. In this challenge, competitors are tasked with finding automated methods for extracting map-ready building footprints from high-resolution satellite imagery. This popular Marathon Match - sponsored by CosmiQ Works, DigitalGlobe, and NVIDIA - is challenging the Topcoder Community to develop automated methods for extracting building footprints from high-resolution satellite imagery.
If the SpaceNet Challenge Round 2 were a basketball game, we would just be starting the fourth quarter.
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