SUIM (Segmentation of Underwater IMagery)
Introduced by Islam et al. in Semantic Segmentation of Underwater Imagery: Dataset and Benchmark
The Segmentation of Underwater IMagery (SUIM) dataset contains over 1500 images with pixel annotations for eight object categories: fish (vertebrates), reefs (invertebrates), aquatic plants, wrecks/ruins, human divers, robots, and sea-floor. The images have been rigorously collected during oceanic explorations and human-robot collaborative experiments, and annotated by human participants.
Source: Semantic Segmentation of Underwater Imagery: Dataset and BenchmarkBenchmarks
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SUIM
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AIM+
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SUIM
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DatUS^2
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Papers
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