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The SUIM dataset is a dataset for semantic segmentation of underwater imagery.
The dataset consists of 1525 annotated images for training/validation and 110 samples for testing.
| Object category | Symbol | Grayscale value |
|---|---|---|
| Background (waterbody) | BW | 0 (black) |
| Human divers | HD | 1 (blue) |
| Aquatic plants and sea-grass | PF | 2 (green) |
| Wrecks and ruins | WR | 3 (sky) |
| Robots (AUVs/ROVs/instruments) | RO | 4 (red) |
| Reefs and invertebrates | RI | 5 (pink) |
| Fish and vertebrates | FV | 6 (yellow) |
| Sea-floor and rocks | SR | 7 (white) |
For more information about the original SUIM dataset, please visit the official dataset page:
https://irvlab.cs.umn.edu/resources/suim-dataset
Please refer to the original dataset source for any additional details, citations, or specific usage guidelines provided by the dataset creators.
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