TrashCan
Introduced by Hong et al. in TrashCan: A Semantically-Segmented Dataset towards Visual Detection of Marine Debris
The TrashCan dataset is an instance-segmentation dataset of underwater trash. It is comprised of annotated images (7,212 images) which contain observations of trash, ROVs, and a wide variety of undersea flora and fauna. The annotations in this dataset take the format of instance segmentation annotations: bitmaps containing a mask marking which pixels in the image contain each object. The imagery in TrashCan is sourced from the J-EDI (JAMSTEC E-Library of Deep-sea Images) dataset, curated by the Japan Agency of Marine Earth Science and Technology (JAMSTEC).
Source: TrashCan 1.0 An Instance-Segmentation Labeled Dataset of Trash ObservationsPapers
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