Guidelines for the annotation of Nephrops norvegicus UWTV videos

Papini O., Cecapolli E., Domenichetti F., Martinelli M., Pieri G., Reggiannini M., Zacchetti L.

UWTV 

This document describes a methodology conceived to create ground truth datasets that may be exploited in the implementation of object detection and classification algorithms tailored on the Nephrops norvegicus. In fact, supervised machine learning algorithms usually require considerable amounts of annotated data to carry out the training stage. The greater the size of the annotated dataset, the stronger the required effort from the annotators.

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