Datasets:
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README.md
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@@ -37,6 +37,16 @@ Each split contains three aligned folders:
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- `labels/` — grayscale semantic label maps (4096×4096, uint8)
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- `labels_RGB/` — colorized label maps for visualization (4096×4096, RGB)
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## Semantic Categories
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13 foreground classes plus an *unlabeled* category (pixel value 0, ignored in training and evaluation):
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- `labels/` — grayscale semantic label maps (4096×4096, uint8)
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- `labels_RGB/` — colorized label maps for visualization (4096×4096, RGB)
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## How to Extract Tar Shards
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Large splits (`core/train` and all `extended/*`) are stored as tar shards (~12–29 GB each). Each shard internally contains the aligned `images/`, `labels/`, and `labels_RGB/` folders. After downloading the shards of a split, extract them in place:
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```bash
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for f in *.tar; do tar -xf "$f"; done
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```
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This yields the three folders with all samples merged. (`core/test` is provided as plain files for direct preview.)
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## Semantic Categories
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13 foreground classes plus an *unlabeled* category (pixel value 0, ignored in training and evaluation):
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