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@@ -54,7 +54,17 @@ To address these challenges, 'opensr-test' provides a fair approach for SR bench
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  ## **Datasets**
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- The `opensr-test` package provides five datasets for benchmarking SR models. These datasets are carefully crafted to minimize spatial and spectral misalignment. Each dataset consists of a dictionary with the following keys:
 
 
 
 
 
 
 
 
 
 
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  - **`L2A`**: Sentinel-2 L2A bands (12 bands).
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  - **`L1C`**: Sentinel-2 L1C bands (12 bands).
@@ -87,7 +97,6 @@ The `opensr-test` package provides five datasets for benchmarking SR models. The
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  | B11 | SWIR-I | 20 | 10 | 11 |
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  | B12 | SWIR-II | 20 | 11 | 12 |
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-
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  ### **NAIP (X4 scale factor)**
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  The National Agriculture Imagery Program (NAIP) dataset is a high-resolution aerial imagery dataset covering the continental United States. **It consists of
 
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  ## **Datasets**
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+ The `opensr-test` package provides five datasets for benchmarking SR models. These datasets are carefully crafted to minimize spatial and spectral misalignment.
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+
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+ | Dataset | Scale factor | Number of images | HR patch size |
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+ |---------|--------------|-------------------|--------------|
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+ | NAIP | x4 | 62 | 484x484 |
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+ | SPOT | x4 | 9 | 512x512 |
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+ | Venµs | x2 | 59 | 256x256 |
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+ | SPAIN CROPS | x4 | 28 | 512x512 |
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+ | SPAIN URBAN | x4 | 20 | 512x512 |
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+
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+ Each dataset consists of a dictionary with the following keys:
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  - **`L2A`**: Sentinel-2 L2A bands (12 bands).
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  - **`L1C`**: Sentinel-2 L1C bands (12 bands).
 
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  | B11 | SWIR-I | 20 | 10 | 11 |
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  | B12 | SWIR-II | 20 | 11 | 12 |
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  ### **NAIP (X4 scale factor)**
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  The National Agriculture Imagery Program (NAIP) dataset is a high-resolution aerial imagery dataset covering the continental United States. **It consists of