AI & ML interests
Machine learning to understand the environment. We develop ML methods for remote sensing, earth observation, ecology and conservation.
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Environmental Computational Science and Earth Observation (ECEO)
Welcome to the Hugging Face of Environmental Computational Science and Earth Observation (ECEO) Laboratory at EPFL.
Our research combines artificial intelligence, computer vision, remote sensing, ecology, and environmental sciences to better understand our changing planet.
This Hugging Face space hosts our datasets and pretrained models accompanying our research projects, publications, and open-source software.
Learn more about our lab and research on our website, and explore our codebase on our GitHub page.
models 13
EPFL-ECEO/coralscapes-vit-l-dpt
0.3B • Updated • 16
EPFL-ECEO/coralscapes-vit-s-dpt
42.6M • Updated • 14
EPFL-ECEO/deepreefmap-sfm-net
Updated
EPFL-ECEO/coralscapes-vit-b-dpt
0.1B • Updated • 25
EPFL-ECEO/segformer-b2-finetuned-coralscapes-1024-1024
Image Segmentation • 27.4M • Updated • 791
EPFL-ECEO/2Player_pretrained
Updated
EPFL-ECEO/canadafiresat-env-resnet-50
Updated
EPFL-ECEO/canadafiresat-multi-resnet-50
Updated
EPFL-ECEO/canadafiresat-sits-resnet-50
Updated
EPFL-ECEO/canadafiresat-env-dinov2-vit-small-32-32
Updated
datasets 7
EPFL-ECEO/CanadaFireSat
Viewer • Updated • 244k • 1.67k • 2
EPFL-ECEO/CanadaFireSat-Raw
Updated • 96
EPFL-ECEO/EcoWikiRS
Viewer • Updated • 91.8k • 83 • 1
EPFL-ECEO/HRSCD_clean
Updated • 40
EPFL-ECEO/ValaisCD
Preview • Updated • 58
EPFL-ECEO/SwissView
Viewer • Updated • 850 • 247 • 3
EPFL-ECEO/coralscapes
Viewer • Updated • 2.08k • 768 • 12