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FLAIR models : landcover semantic segmentation

FLAIR models : landcover semantic segmentation

updated Jun 19, 2024

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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13

  • IGNF/FLAIR-INC_rgbie_15cl_resnet34-unet

    Image Segmentation • Updated Aug 9, 2024 • 8

  • IGNF/FLAIR-INC_rgbi_15cl_resnet34-unet

    Image Segmentation • Updated Aug 9, 2024

  • IGNF/FLAIR-INC_rgb_15cl_resnet34-unet

    Image Segmentation • Updated Aug 9, 2024

  • IGNF/FLAIR-INC_rgb_15cl_mitb5-unet

    Image Segmentation • Updated Aug 9, 2024

  • IGNF/FLAIR-INC_rgb_15cl_resnet34-deeplabv3

    Image Segmentation • Updated Aug 9, 2024

  • IGNF/FLAIR-INC_rgb_15cl_resnet34-fpn

    Image Segmentation • Updated Aug 9, 2024

  • IGNF/FLAIR-INC_rgb_12cl_resnet34-unet

    Image Segmentation • Updated Aug 9, 2024 • 3

  • IGNF/FLAIR-INC_rgbie_12cl_resnet34-unet

    Image Segmentation • Updated Aug 9, 2024

  • FLAIR: a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical Imagery

    Paper • 2310.13336 • Published Oct 20, 2023
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13
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