This is the first general Underwater Image Instance Segmentation (UIIS) dataset containing 4,628 images for 7 categories with pixel-level annotations for underwater instance segmentation task
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…The dataset is designed to do binary semantic segmentation of burned vs unburned areas.
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From my knowledge, the dataset used in the project is the largest crack segmentation dataset so far. It contains around 11.200 images that are merged from 12 available crack segmentation datasets. Qingquan and Mao, Qingzhou and Wang, Song}, journal={Pattern Recognition Letters}, volume={33}, number={3}, pages={227--238}, year={2012}, publisher={Elsevier} } https://github.com/alexdonchuk/cracks_segmentation_dataset https://github.com/yhlleo/DeepCrack https://github.com/ccny-ros-pkg/concreteIn_inpection_VGGF (Citing from https://github.com/khanhha/crack_segmentation.)
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…containing near-infrared, green, and blue bands with a spatial resolution of 50cm Image credits: National Survey of Finland (https://www.maanmittauslaitos.fi/en/maps-and-spatial-data) Tasks: Segmentation