Big news for 2021! Now presenting Unfolded Studio, our take on next generation #geospatial analytics. Learn more and sign up for a free account to our new platform: https://t.co/rH0LSXGbbZ #GIS#dataviz
We are excited to share that we will be working with the Asian Development Bank as part of the Open Government Partnership's Earth Observation Data Challenge Challenge! https://t.co/0LSgI0HIzX
Mapping the residential solar panels using Solaris from @CosmiqWorks. So far we are experimenting with class balance, cost functions, and different transfer learning models. Results from 100 epochs. #ai4eo#geospatial#geospatialml
The wait is over! We are proud to release the #dataset for #spacenet7 . This novel dataset from @planetlabs features time series collects of ~100 locations in 6 continents totaling more than 40K km2 of observed area & 10M+ labeled building footprints.
https://t.co/qn5HkFjjfQ
Pleased to announce our 6th STAC Sprint, to push us to 1.0.0. Join us virtually in mid-august to work on STAC software, and early September to learn the tools and help publish more STAC data. More info at https://t.co/vuHYL9WOZO
Talks # 8 will have Sebastián Ramírez, creator of FastAPI talking about "Building Machine Learning API from scratch using FastAPI".
LIVE + Q&A
Add to your Google calendar: https://t.co/UmNu36PoMr
Youtube Link: https://t.co/GSSbHCAKQj
Making sure all your geodata has the same CRS is pain. This is why @EarthlabAi we automate a lot of these manual checks in preprocessing. It's all these small wins that ultimately build an ultimate better experience in the geodata value chain. What are some of your small wins?
Creating training masks in bulk using Solaris python API from @CosmiqWorks. This takes away so much pain once you set it up. This is for rooftop solar array detection project. Check out Solaris if you haven't already done so.