Datasets:
Tasks:
Image Segmentation
License:
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Update readme
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README.md
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@@ -25,16 +25,16 @@ The SUIM dataset is a dataset for semantic segmentation of underwater imagery.
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The dataset consists of 1525 annotated images for training/validation and
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110 samples for testing.
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| Object category | Symbol |
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| Background (waterbody) | BW |
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| Human divers | HD |
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| Aquatic plants and sea-grass | PF |
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| Wrecks and ruins | WR |
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| Robots (AUVs/ROVs/instruments) | RO |
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| Reefs and invertebrates | RI |
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| Fish and vertebrates | FV |
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| Sea-floor and rocks | SR |
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For more information about the original SUIM dataset,
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The dataset consists of 1525 annotated images for training/validation and
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110 samples for testing.
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| Object category | Symbol | Grayscale value |
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|----------------------------------|--------|-----------------|
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| Background (waterbody) | BW | 0 (black) |
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| Human divers | HD | 1 (blue) |
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| Aquatic plants and sea-grass | PF | 2 (green) |
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| Wrecks and ruins | WR | 3 (sky) |
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| Robots (AUVs/ROVs/instruments) | RO | 4 (red) |
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| Reefs and invertebrates | RI | 5 (pink) |
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| Fish and vertebrates | FV | 6 (yellow) |
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| Sea-floor and rocks | SR | 7 (white) |
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For more information about the original SUIM dataset,
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