  Medical waste, i.e. waste produced during medical activities in hospitals,
clinics and laboratories, represents hazardous waste whose management involves
special care and high costs. However, this kind of waste contains a significant
fraction of highly valued materials that can enter a circular economy process.
To this end, in this paper, we propose a computer vision approach for assisting
in the primary sorting of medical waste. The feasibility of our approach is
demonstrated on a representative dataset we collected and made available to the
community, with which we have trained a model that achieves 100\% accuracy, and
a new dataset on which the trained model exhibits good generalization.
