Day 3 of Finch 1: what changed.
Crop types in France through a whole season, and crop mapping from radar alone.
Same frozen model, same single linear layer.
On public benchmark test sets:
• Crops (PASTIS): +11.3 vs AlphaEarth
• Radar crop mapping (CropHarvest China): +8.4 vs OlmoEarth v1.3
Step through the season: locamage.com/blog/what-chang…
Day 2 of Finch 1: what it sees.
Land cover in France, buildings in Khartoum, roads and roofs around the Chesapeake Bay, and a wildfire scar in the US, from 20 cm aerial photos to 30 m satellite imagery.
Every map comes from one frozen model and a single linear layer.
Every example comes from a public benchmark: FLAIR2, SpaceNet2, m-Chesapeake and HLS Burn Scars.
See them all, with a slider between imagery and map: locamage.com/blog/what-finch…
Full results and how we compared: locamage.com/blog/finch-1
Request early access: locamage.com/#access
And it keeps getting better as we scale.
Full results and how we compared: locamage.com/blog/finch-1
If you are a researcher and want to work with us, email [email protected].
Thanks to a16z Speedrun Alpha (@speedrun) and Google's TPU Research Cloud and TPU Builder Program for supporting this work.







