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Datasets:
IGNF
/
PASTIS-HD

Tasks:
Image Classification
Image Segmentation
Modalities:
Image
Formats:
imagefolder
Size:
1K - 10K
ArXiv:
Tags:
remote sensing
Agricultural
Libraries:
Datasets
License:
Dataset card Data Studio Files
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@@ -48,7 +48,7 @@ The annotations are in numpy array too.
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  The agricultural parcels are grouped into 18 different crop classes as shown in the table below. The backgroud class corresponds to non-agricultural land, and the void label for parcels that are mostly outside their patch.
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- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6582b7dd75754a803e484487/T2AvsxFivkkRfr1Zt8QKR.png)
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  Additional information about the dataset can be found in the documentation/pastis-documentation.pdf document.
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  The agricultural parcels are grouped into 18 different crop classes as shown in the table below. The backgroud class corresponds to non-agricultural land, and the void label for parcels that are mostly outside their patch.
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6582b7dd75754a803e484487/aHQB0uq4cqBX-7hkCkpFn.png)
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  Additional information about the dataset can be found in the documentation/pastis-documentation.pdf document.
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