Latest / Satellite image deep learning
The FLAIR land cover mapping challenge
In this episode, I caught up with Nicolas Gonthier to learn about the FLAIR land cover mapping challenge.
In this challenge, 20cm resolution aerial imagery was used to create high-quality annotations. This data was paired with a time series of medium-resolution Sentinel 2 images to create a rich, multidimensional dataset. Participants in the challenge were able to surpass the baseline solution by 10 points in the target metric, representing a significant step forward in land cover classification capabilities.
The dataset is now being expanded to cover a larger area and incorporate additional…
The skinny
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