Semantic Segmentation of Underwater Imagery: Dataset and Benchmark

2 Apr 2020Md Jahidul IslamChelsey EdgeYuyang XiaoPeigen LuoMuntaqim MehtazChristopher MorseSadman Sakib EnanJunaed Sattar

In this paper, we present the first large-scale dataset for semantic Segmentation of Underwater IMagery (SUIM). It 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... (read more)

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