New Publication: MMoRWaD: A Multimodal Dataset for Recyclable Waste Recognition Acquired with an Edge-Node Reverse Vending Machine Station

Automated classification of municipal solid waste remains challenging due to high variability in object appearance, deformation, contamination, and inconsistent consumer disposal behavior, creating a need for representative multimodal datasets that enable robust machine-learning models. In this work, we developed a custom edge-node reverse-vending-machine (RVM) data-collection station equipped with multimodal sensors Read more…