Description: BenthicNet is a global compilation of seabed images designed to support the development of automated image processing tools. We currently have the need, but not the resources, to automate the classification of seabed images for the purposes of benthic ecology, mapping, and conservation. BenthicNet provides a volume of images appropriate for the training of machine and deep learning models that may be used for automatic image processing and classification. The dataset is global in scope, containing images from a range of locations, depths, and environments. Images and metadata were obtained from project partners, open access repositories, and third party hosting locations (such as journal supplementary materials), and have been standardized to a common format.
 

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