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.

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

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

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

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

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

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

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

➡️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

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

Have you registered for the SpaceNet 8 Flood Detection Challenge? This challenge will focus on infrastructure and #flood #mapping related to hurricanes and heavy rains that cause route obstructions and significant damage. #SN8 ➡️ bit.ly/3Pl6JBB

Along with our partners, IEEE GRSS, Oak Ridge National Laboratory, Amazon Web Services and Topcoder, we have released the dataset and algorithmic baseline for the SpaceNet 8 Flood Detection Challenge. #SN8 #Mapping #Flood bit.ly/3vhHB7e

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

At #FedGeoDay Maxar Technologies Todd Bacastow gave a great lightning talk on SpaceNet 8 focused on multi-class segmentation of roads and buildings. To find out more check it out. projectgeospatial.com/podcast-archiv… #GEOINT #Geospatial #SpaceNet #GIS #OpenSource #MachineLearning #ComputerVision

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

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/962…

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/962…

SpaceNet 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

How do we speed up disaster response with AI? Join SpaceNet 9 Challenge on Topcoder! In partnership with SpaceNet, Maxar Technologies, Amazon Web Services, Umbra, Oak Ridge Lab and IEEE Geoscience and Remote Sensing Society, we’re aligning SAR & optical imagery. 💰 $50K in prizes 🎯Deadline: May 26 Link in comments.

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/962…