- Submitter (Affiliation): Hannah Kerner
- Data Provider (Legal Entity): Vivien St Faire Garnot
- Homepage: https://github.com/VSainteuf/pastis-benchmark
PASTIS is a benchmark dataset for panoptic and semantic segmentation of agricultural parcels from satellite time series. It contains 2,433 patches within the French metropolitan territory with panoptic annotations (instance index + semantic label for each pixel). Each patch is a Sentinel-2 multispectral image time series of variable length.
- URL: https://zenodo.org/record/5012942
- Documentation: https://github.com/VSainteuf/pastis-benchmark/blob/main/documentation/pastis-documentation.pdf
- File Format: Numpy files
- Geographic Coverage: France (~4000 km2 sampled from four regions)
- Has Train/Test split?: Yes
- Input data sensor(s): Sentinel-2
- Input patch size: 128x128 pixels
- Input data channels(s): The 10 channels correspond to the non-atmospheric spectral bands of the Sentinel-2 satellite, after atmospheric correction and re-sampling at a spatial resolution of 10 meters per pixel.
- Input data timesteps: Variable length (30-60, all available Sentinel-2 acquisitions)
- Label information:
- Semantic segmentation (binary masks)
- Instance segmentation (instance masks)
- Panoptic segmentation (full-coverage instance masks)
- Includes crop type or category labels: 18 crop types plus a background class
- Ground truth polygons (vector data used to create label masks)
- Projection (if georeferenced): N/A
- License: MIT License
- Data Creation Details: Garnot et al., ICCV 2021
- Label Source: France Graphical Plot Register (RPG)
...
Splits used for 5-fold cross validation
Recommends using 5-fold cross validation rather than a single train/test split.
Type of split: 5-fold CV split uniform at random by patch
Subset | # samples |
---|---|
Total | 2,433 |
Train | n/a |
Validation | n/a |
Test | n/a |
Model | OA | F1 | IoU | mAP |
---|---|---|---|---|
TSViT | 83.4% | 65.4% |
Library/package | URL |
---|---|
Github repo | https://github.com/VSainteuf/pastis-benchmark |
TorchGeo | https://torchgeo.readthedocs.io/en/stable/_modules/torchgeo/datasets/pastis.html |
https://github.com/VSainteuf/pastis-benchmark/blob/main/demo.ipynb