CosmiQ Works

We’ve folded into IQT Labs. Follow us at @IqtLabs for new content!

[CosmiQ Works @CosmiqWorks]

Over the past 6 years we've helped the intelligence & academic communities better understand how #geospatial machine learning can address hard problems. As CosmiQ Works is folded into #IQTLabs, our final blog highlights accomplishments from over the years! https://t.co/hxKLCFoAZb

[CosmiQ Works @CosmiqWorks]

Over the past 6 years we've helped the intelligence and academic communities better understand how #geospatial machine learning can help tackle hard problems. Today's podcast brings together current colleagues and alum to celebrate key accomplishments! https://t.co/DJspjp6FgP

[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

[CosmiQ Works @CosmiqWorks]

The new @Spacenet_AI blog analyzes results of #SpaceNet7 to explore how the SpaceNet Change and Object Tracking (SCOT) metric acts with real-world data. Do different parts of the metric really measure what they claim to measure? Spoiler alert - they do! https://t.co/XQHHsXwcpx

[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.

[CosmiQ Works @CosmiqWorks]

Missed the SpaceNet #NeurIPS2020 competition track presentation? Check out the #SpaceNet7 Multi-Temporal Urban Development Challenge overview that dives into the dataset, metric, and winners! #geospatial #opendata https://t.co/uY3KzJs5lA

[CosmiQ Works @CosmiqWorks]

Watching the #NeurIPS2020 Competition tracks today? Tune in at 5pm ET for a breakdown of the #SpaceNet7 Multi-temporal Urban Development Challenge, featuring our own @AdamVanEtten and @daniel_p_hogan! https://t.co/9YrqZ05PGu

[SpaceNet @Spacenet_AI]

Results are in from the #SpaceNet7 challenge! Our first challenge evaluation blog details the winners and explores insights gleaned from the challenge. Results will also be featured at #NeurIPS2020! https://t.co/Dn0UrkLXIr #geospatial #opendata

[CosmiQ Works @CosmiqWorks]

Interested in learning how to build an open source analytics ecosystem for #geospatial applications? Tune into our session from #IGARSS2020 last month where we detail how we did this through @Spacenet_AI data https://t.co/wkMWiaTMGU

[CosmiQ Works @CosmiqWorks]

@AdamVanEtten @JakeShermeyer 's talk is on the openly licensed RarePlanes (https://t.co/MomjJWEhiN) dataset & research study that examines the value of @aireverie synthetic data to aid CV algorithms in their ability to automatically detect aircraft and their attributes in satellite imagery.

[CosmiQ Works @CosmiqWorks]

Interested in applied machine learning for geospatial applications? Join CosmiQ's Adam Van Etten (https://t.co/O9IBM44CTa) & Jake Shermeyer (https://t.co/dOOYsx6Epl) as they present at MLconf 2020 this Friday. Check out the agenda and register here: https://t.co/6vTd9JQ2n4

[CosmiQ Works @CosmiqWorks]

@AdamVanEtten's talk focuses on the City-Scale Road Extraction from Satellite Imagery (CRESI) algorithm (https://t.co/ZWzKpTAwP0) that rapidly extracts road networks and identifies speed limits and route travel times for each roadway, using only satellite imagery as input

[CosmiQ Works @CosmiqWorks]

Interested in attending another great talk at #IGARSS2020? Check out our work on road network extraction from multiple satellite look angles with @Spacenet_AI data. The talk will be live this Friday at 9:25AMET! #geospatial #opendata
https://t.co/hWw4dBorK1

[SpaceNet @Spacenet_AI]

We've released the expanded #SpaceNet6 dataset containing 202 untiled @capellaspace SAR image strips & a @Maxar WorldView 2 scene! The SAR data is the 1st openly licensed quad-polarized imagery at 0.25m spatial resolution that spans such an extensive area. https://t.co/I8az3NrWX7

[CosmiQ Works @CosmiqWorks]

We wish the best of luck to our colleague @RyanSLewis07 on his last day with us as he pursues his next career endeavor! CosmiQ never would have been born without him, and his leadership and creativity has significantly contributed to how far we've come today.

[CosmiQ Works @CosmiqWorks]

There is still time to register for @RSPSoc's Measure the World virtual conference. A great line up of speaker's including our own @JakeShermeyer. #Geospatial #OpenData #DataScience
https://t.co/c58hkZKi5B

[CosmiQ Works @CosmiqWorks]

@azavea Of course! Keep up the great work with #GroundWork!

[CosmiQ Works @CosmiqWorks]

Excited to support this important collaboration initiative! Thank you to @opencholmes and all of the Collaborators for making this possible!

[Chris Holmes @opencholmes]

Our Cloud Native Geospatial Outreach Day & Sprint is one week away! We're working to welcome to anyone who is interested - no geospatial or software expertise required. See https://t.co/1D4quErh7B for more info. Please share widely so we can bring in new users & collaborators!