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@@ -25,7 +25,7 @@ The image are resampled to a 1m resolution and converted to 8 bits.
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  This enhancement significantly improves the dataset's spatial content, providing more granular information for agricultural parcel segmentation.
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  PASTIS-HD can be used to evaluate multi-modal fusion methods (with optical time series, radar time series and VHR images) for parcel-based classification, semantic segmentation, and panoptic segmentation.
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- - **Dataset in numbers**
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  🛰️ Sentinel 2 | 🛰️ Sentinel 1 | 🛰️ **SPOT 6-7 VHR** | 🗻 Annotations
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  :-------------------------------------------- | :-------------------------------------------------- | :------------------------------| :------------------------------
 
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  This enhancement significantly improves the dataset's spatial content, providing more granular information for agricultural parcel segmentation.
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  PASTIS-HD can be used to evaluate multi-modal fusion methods (with optical time series, radar time series and VHR images) for parcel-based classification, semantic segmentation, and panoptic segmentation.
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+ ## Dataset in numbers
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  🛰️ Sentinel 2 | 🛰️ Sentinel 1 | 🛰️ **SPOT 6-7 VHR** | 🗻 Annotations
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  :-------------------------------------------- | :-------------------------------------------------- | :------------------------------| :------------------------------