Search Results for author: Apolline De Wit

Found 2 papers, 2 papers with code

Date Published Github Stars

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

1 code implementation • 20 Oct 2023 • Anatol Garioud, Nicolas Gonthier, Loic Landrieu, Apolline De Wit, Marion Valette, Marc Poupée, Sébastien Giordano, Boris Wattrelos

We introduce the French Land cover from Aerospace ImageRy (FLAIR), an extensive dataset from the French National Institute of Geographical and Forest Information (IGN) that provides a unique and rich resource for large-scale geospatial analysis.

Land Cover Classification Semantic Segmentation +1

45
Paper
Code

FLAIR #2: textural and temporal information for semantic segmentation from multi-source optical imagery

1 code implementation • 23 May 2023 • Anatol Garioud, Apolline De Wit, Marc Poupée, Marion Valette, Sébastien Giordano, Boris Wattrelos

The FLAIR #2 dataset hereby presented includes two very distinct types of data, which are exploited for a semantic segmentation task aimed at mapping land cover.

Earth Observation Semantic Segmentation +1

45
Paper
Code
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