Annotated Underwater Visual Census Image Dataset for Marine Species and Habitat Mapping in Madagascar (Version 1.0)

This dataset comprises underwater images collected during scientific surveys and serves as a valuable resource for marine research, management, and conservation. The images have been manually annotated by experts to identify species, habitats, and other ecological features. These annotated data can be used to train artificial intelligence (AI) and machine learning models capable of automatically detecting and classifying objects in underwater imagery. Such models can support species and habitat mapping, biodiversity assessments, ecosystem monitoring, and the production of spatially explicit maps for informed marine management and conservation decision-making

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