SpaceNet® is dedicated to accelerating applied research in geospatial machine learning.
Joined November 2018
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SpaceNet 9 Challenge winners are here!
🛰️ Teams tackled optical + SAR image registration
🏆 $50K in prizes awarded
📄 Winning approaches coming soon in a paper
Congrats to all! 🙌
🔗 topcoder.com/challenges/9620…
SpaceNet retweeted
How do we speed up disaster response with AI?
Join SpaceNet 9 Challenge on Topcoder! In partnership with @Spacenet_AI, @Maxar, @awscloud, @umbraspace, @ORNL and @IEEE_GRSS, we’re aligning SAR & optical imagery.
💰 $50K in prizes
🎯Deadline: May 26
Link in comments.
SpaceNet retweeted
@Spacenet_AI invites researchers, developers, and students to build algorithms that align optical and SAR imagery in earthquake-affected areas.
🏆$50,000 in total prizes
🎓 Includes $2,500 awards for both the top graduate and undergraduate submissions
📅 Submissions close May 26.
🔗: topcoder.com/challenges/9620…
#SpaceNet9 #DisasterResponse #GeospatialAI
Students: Want to build algorithms for disaster response?
Join #SpaceNet9 to align satellite imagery and unlock faster insights.
🏆 $50K in overall prizes
🎓 Including $2,500 or both the top undergraduate and graduate student participants.
Sign up now: topcoder.com/challenges/9620…
We are thrilled to announce the launch of SpaceNet 9: Cross-Modal Satellite Imagery Registration.
💥The challenge scope: develop algorithms to align optical and SAR imagery for better disaster response.
💥The reward: $50,000 in prizes.
Join today: topcoder.com/challenges/9620…
In our latest blog, we explore how each of the top-scoring competitors approached the SpaceNet 8 #Flood #Detection #Challenge. See the results and get all the details on the top 5 submissions. bit.ly/3uFNxGF
SpaceNet retweeted
At #FedGeoDay @Maxar @ToddBacastow gave a great lightning talk on @Spacenet_AI 8 focused on multi-class segmentation of roads and buildings. To find out more check it out.
projectgeospatial.com/podcas…
#GEOINT #Geospatial #SpaceNet #GIS #OpenSource #MachineLearning #ComputerVision – at Ashburn, VA
We’ve selected our top 5 winners for the SpaceNet 8 Flood Detection Challenge! Review the overall challenge goals and learn about each of the 5 winners. Congratulations and thanks to all who participated. bit.ly/3STa0KG #Geospatial #Flood #AI #Mapping
We just launched the SpaceNet 8 Flood Detection Challenge! This new challenge will focus on infrastructure and #flood #mapping related to #hurricanes and heavy rains that cause route obstructions and significant damage. Learn more and register today! bit.ly/3Pl6JBB
➡️Launching soon, SpaceNet 8 Challenge!
Our latest challenge, titled "Flood Detection Challenge Using Multiclass Segmentation", will be launching soon.
Stayed tuned for more details. #OpenSource #Geospatial spacenet.ai/
Happy Holidays! Thanks to our partners, supporters & challenge participants. We look forward to further innovation & collaboration in 2022 with the launch of SpaceNet 8, focusing on automated analysis of flooding damage assessment. #OpenSource #Geospatial spacenet.ai/
SpaceNet retweeted
Yesterday at #GEOINT2021 Maxar’s Todd Bacastow, Sr Director, Corporate Strategy, talked about SpaceNet and the AI/ML prize challenges. Want to know more about SpaceNet? Learn more here: spacenet.ai/ #AI #ML
For the past five years SpaceNet has been accelerating open source, applied research in geospatial machine learning. Today we celebrate the key accomplishments and milestones of this one-of-a-kind initiative! ow.ly/w0wg50DNa71 #geospatial #opensource
Building footprints provide a useful proxy for many humanitarian applications. Our new paper discusses efforts to develop techniques for precise building footprint localization, tracking, & change detection via the #SpaceNet7 challenge. ow.ly/lkjm50DL8lI #geospatial
Building tracking and change detection from moderate satellite imagery is surprisingly tractable. Our final #SpaceNet7 analysis blog explores winning model performance with an interactive map and provides details on how to access the #opensource models. ow.ly/cAiq50DBTpX
Our new blog analyzes the results of #SpaceNet7 to explore how the SpaceNet Change and Object Tracking (SCOT) metric acts with real-world data. Do the different parts of the metric really measure what they claim to measure? Spoiler alert - they do! ow.ly/sD8950DuBqq
What was a main theme in the #SpaceNet7 challenge results? Overachieving pixels. Our new blog dives into this, comparing results to past SpaceNet challenges, and explores predictions with an interactive map. ow.ly/Zb2F50Dm0VY #geospatial #opensource
Part II of our #SpaceNet7 results deep dive is here! Learn more about the winning algorithm, the innovations that vastly improved upon the baseline model, and an unexpected performance curve. ow.ly/NLFZ50COxq4 Stay tuned next month as we continue to explore results.
