mwalmsley/euclid_rr2
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How to use mwalmsley/euclid-rr2-mae with timm:
import timm
model = timm.create_model("hf_hub:mwalmsley/euclid-rr2-mae", pretrained=True)This masked autoencoder (MAE) is trained to reconstruct Euclid galaxy images where 90% of the image is masked. The trained model shows superhuman performance at reconstruction.
This version is trained on Euclid RR2 (3M images). We later trained an otherwise-identical model on Euclid DR1 (13.6M images). You should use that instead - it's strictly better!
Go to mwalmsley/euclid-dr1-mae for full details and example code.
We'll leave this model up for reproducibility, but seriously, please use the DR1 version!