AI & ML interests
None defined yet.
Recent Activity
Papers
MAESTRO: Masked AutoEncoders for Multimodal, Multitemporal, and Multispectral Earth Observation Data
FLAIR-HUB: Large-scale Multimodal Dataset for Land Cover and Crop Mapping
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FLAIR-HUB: Large-scale Multimodal Dataset for Land Cover and Crop Mapping
Paper • 2506.07080 • Published • 8 -
IGNF/FLAIR-HUB_LPIS-A_swinbase-upernet
Image Segmentation • Updated -
IGNF/FLAIR-HUB_LPIS-F_utae
Image Segmentation • Updated -
IGNF/FLAIR-HUB_LPIS-I_swinbase-upernet
Image Segmentation • Updated
The FLAIR models is a collection of semantic segmentation models initially developed to classify land cover on very high resolution aerial imagery.
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FLAIR-HUB: Large-scale Multimodal Dataset for Land Cover and Crop Mapping
Paper • 2506.07080 • Published • 8 -
IGNF/FLAIR-HUB_LC-A_IR_swintiny-upernet
Image Segmentation • Updated • 3 -
IGNF/FLAIR-HUB_LC-A_IR_swinsmall-upernet
Image Segmentation • Updated • 1 -
IGNF/FLAIR-HUB_LC-A_IR_swinbase-upernet
Image Segmentation • Updated • 2
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FLAIR-HUB: Large-scale Multimodal Dataset for Land Cover and Crop Mapping
Paper • 2506.07080 • Published • 8 -
IGNF/FLAIR-HUB_LPIS-A_swinbase-upernet
Image Segmentation • Updated -
IGNF/FLAIR-HUB_LPIS-F_utae
Image Segmentation • Updated -
IGNF/FLAIR-HUB_LPIS-I_swinbase-upernet
Image Segmentation • Updated
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FLAIR-HUB: Large-scale Multimodal Dataset for Land Cover and Crop Mapping
Paper • 2506.07080 • Published • 8 -
IGNF/FLAIR-HUB_LC-A_IR_swintiny-upernet
Image Segmentation • Updated • 3 -
IGNF/FLAIR-HUB_LC-A_IR_swinsmall-upernet
Image Segmentation • Updated • 1 -
IGNF/FLAIR-HUB_LC-A_IR_swinbase-upernet
Image Segmentation • Updated • 2
The FLAIR models is a collection of semantic segmentation models initially developed to classify land cover on very high resolution aerial imagery.