vasthair.blogg.se - Spacenet 5

00 % from last year same quarter Total Income of Rs Crore. For the quarter ended 31-03-2022, the company has reported a Consolidated Total Income of Rs 26.58 Crore, up 54.60 % from last quarter Total Income of Rs 17.20 Crore and unchanged. key Products/Revenue Segments include Bullion, Profit on Commodity Trading and Information Technology & Consultancy Services for the year ending 3. The algorithms also help SpaceNet make breakthroughs in the space of advanced vision algorithms.Spacenet Enterprises India Ltd., incorporated in the year 2010, is a Small Cap company (having a market cap of Rs 1,142.92 Crore) operating in Miscellaneous sector. Over the four challenges that SpaceNet has run on Topcoder, they gained algorithms relating to geospatial mapping that could prove useful in disaster relief and non-commercialized mapping. SpaceNet got to keep the top-performing algorithms for further analysis.The algorithms that performed the best won prize money.Every Topcoder member competing in the challenge attempted to create their own algorithm that could extract building footprints from satellite imagery.Challenge participants received educational resources and tools to complete the challenge.

In The SpaceNet Challenge, Topcoder members competed with one another to develop the best geospatial computer vision algorithms. This means that SpaceNet does not have to onboard new talent itself-it can access the talent it needs, when it needs it. SpaceNet works with Topcoder to host challenges that engage Topcoder’s 100 + community of talented data scientists. They need to rely on hundreds of people to develop unique algorithms and compare them against each other to find the best fit.

They use Topcoder Data Science challenges to develop sophisticated algorithms.įor a small team like SpaceNet, having to produce all of these algorithms in-house would be impossible.

They produce datasets of overhead imagery (high-res satellite images with mapping) and provide them to the machine learning community to help further their efforts.

To remain agile with a small team, they’re leveraging the crowdsourcing in two distinct ways: But they have a small team and there are thousands of coding strategies related to this specific mapping issue. Between building blueprints and road networks, it took tens of thousands of volunteers over 2 months to accurately define post-Maria Puerto Rico road networks via OpenStreetMap and other resources.Īt SpaceNet, they’re working hard to leverage machine learning algorithms that can fully automate the extraction of building footprints and road networks from satellite imagery. Yet understanding the layout of the land is crucial for emergency response teams tasked with distributing critical aid and resources.īut, mapping an island is no easy task. With 80% of the island’s powerlines down, 38 inches of rain on the ground, and $95 billion in structural damage, the geographic layout of Puerto Rico drastically changed.

When Hurricane Wanda hit Puerto Rico, access to proper infrastructure mapping became a major hurdle. SpaceNet aims to create accurate machine learning algorithms that can identify building blueprints and road networks from images.īut SpaceNet isn’t developing these algorithms alone. Nick Weir, Challenge Manager for SpaceNet recently went on the podcast What’s Working in Washington to describe how SpaceNet’s small team uses Topcoder to help them provide solutions at scale. The open innovation project SpaceNet, a nonprofit partnership led by the In-Q-Tel CosmicQ Works lab, works on complex mapping solutions that hope to assist in disaster recovery and optics in places where geospatial mapping isn’t commercialized or profit-driven.