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Datasets/PASTIS

PASTIS

Panoptic Segmentation of satellite image TImes Series

ImagesUnknownIntroduced 2021-07-16

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.

Image source: https://github.com/VSainteuf/pastis-benchmark

Benchmarks

10-shot image generation/Mean IoU (test)10-shot image generation/Number of Params 10-shot image generation/Overall Accuracy 10-shot image generation/PQ 10-shot image generation/RQ 10-shot image generation/SQ Panoptic Segmentation/PQ Panoptic Segmentation/RQ Panoptic Segmentation/SQ Semantic Segmentation/Mean IoU (test)Semantic Segmentation/Number of Params Semantic Segmentation/Overall Accuracy Semantic Segmentation/PQ Semantic Segmentation/RQ Semantic Segmentation/SQ

Related Benchmarks

PASTIS-R/10-shot image generation/IoU PASTIS-R/10-shot image generation/PQ PASTIS-R/10-shot image generation/RQ PASTIS-R/10-shot image generation/SQ PASTIS-R/Panoptic Segmentation/PQ PASTIS-R/Panoptic Segmentation/RQ PASTIS-R/Panoptic Segmentation/SQ PASTIS-R/Semantic Segmentation/IoU PASTIS-R/Semantic Segmentation/PQ PASTIS-R/Semantic Segmentation/RQ PASTIS-R/Semantic Segmentation/SQ

Statistics

Papers: 18
Benchmarks: 15

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Tasks

10-shot image generation Panoptic Segmentation Semantic Segmentation