SpaceNet

SpaceNet® is dedicated to accelerating applied research in geospatial machine learning.

[SpaceNet @Spacenet_AI]

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! 🙌

🔗 https://t.co/nD2QlX30rP

[topcoder @Topcoder]

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.

[Vantor @vantortech]

@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.

🔗: https://t.co/zTtAOg21Ej

#SpaceNet9 #DisasterResponse #GeospatialAI

[SpaceNet @Spacenet_AI]

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: https://t.co/yAnzqCbCYJ

[SpaceNet @Spacenet_AI]

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: https://t.co/yAnzqCbCYJ

[SpaceNet @Spacenet_AI]

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. https://t.co/s8BtjDjq9r

[Project Geospatial @ProjectGeoMedia]

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.
https://t.co/utbntL3Uef
#GEOINT #Geospatial #SpaceNet #GIS #OpenSource #MachineLearning #ComputerVision

[SpaceNet @Spacenet_AI]

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. https://t.co/7H8V1kTm4b #Geospatial #Flood #AI #Mapping

[SpaceNet @Spacenet_AI]

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 https://t.co/cGE5EERsw5

[SpaceNet @Spacenet_AI]

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

➡️ https://t.co/hdJyejbKnv

[SpaceNet @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! https://t.co/hdJyeiU8YV

[SpaceNet @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 https://t.co/ry6sVMVL2y

[SpaceNet @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 https://t.co/ry6sVMEab0

[Vantor @vantortech]

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: https://t.co/Ib1uqT1npO #AI #ML

[SpaceNet @Spacenet_AI]

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! https://t.co/ILehZjtr3x #geospatial #opensource

[SpaceNet @Spacenet_AI]

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. https://t.co/TnnPboXjS3 #geospatial

[SpaceNet @Spacenet_AI]

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. https://t.co/Tm6hOhP0Ew

[SpaceNet @Spacenet_AI]

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! https://t.co/drvwon0kCN

[SpaceNet @Spacenet_AI]

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. https://t.co/Q7pBkvihxi #geospatial #opensource

[SpaceNet @Spacenet_AI]

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. https://t.co/ASROy2JdJ6 Stay tuned next month as we continue to explore results.