PASTIS (Panoptic Segmentation of satellite image TImes Series)
Introduced by Garnot et al. in Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks
PASTIS is a benchmark dataset for panoptic and semantic segmentation of agricultural parcels from satellite image time series. It is composed of 2433 one square kilometer-patches in the French metropolitan territory for which sequences of satellite observations are assembled into a four-dimensional spatio-temporal tensor. The dataset contains both semantic and instance annotations, assigning to each pixel a semantic label and an instance id. There is an official 5 fold split provided in the dataset's metadata.
Benchmarks
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PASTIS
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Exchanger+Mask2Former
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PASTIS
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Exchanger+Mask2Former
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Papers
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