Use of semantic segmentation for mapping on beaches.

The unusual arrival of on Caribbean beaches is an emerging problem that has generated numerous challenges. The monitoring, visualization, and estimation of coverage on the beaches remain a constant complication. This study proposes a new mapping methodology to estimate coverage on the beaches. Semantic segmentation of geotagged photographs allows the generation of accurate maps showing the percent coverage of . The first dataset of segmented images was built for this study and used to train the proposed model. The results demonstrate that the currently proposed method has an accuracy of 91%, improving on the results reported in the state-of-the-art method where data was also collected through a crowdsourcing scheme, in which only information on the presence and absence of is displayed.