Marine Animal Segmentation

MAS3K contains a total of 3,103 images, where 1,588 are for camouflaged cases, 1,322 are for common cases, and 193 are underwater images in absence of marine animals. The marine animal categories in MAS3K cover both vertebrate and invertebrate, including seven super-classes, e.g., mammals, reptile, arthropod, and marine fish, etc. Under the super-classes, MAS3K dataset has 37 sub-classes, e.g., crab, starfish, shark, and turtle, etc.

We construct a new large-scale real-world MAS data set for conducting extensive experiments. It consists of over 3000 images with various underwater scenes and objects. Each image is annotated with an object-level mask and assigned to a category.