IMIS

Imaging sensors are widely used in marine observatories to collect biodiversity observations, but image-based data typically require manual validation before further use. We present an R Shiny application developed within the VLIZ observatory framework to support the validation of biodiversity observations derived from imaging sensors.

The application allows users to browse large sets of images organised in folders, visually inspect individual images, and assign validation or annotation labels using a predefined taxonomy. Images can be labeled individually or in bulk. Validated results are stored in a simple tabular format with user attribution and can be exported for integration into downstream workflows.

The application is sensor-independent and can be applied to image data from different imaging platforms, providing a practical tool for routine validation of imaging-based biodiversity observations.