Object segmentation of solid waste material for further semantic segmentation

Abstract

Recycling is crucial in reducing solid waste and pollution. An optical waste sorter can reduce the amount of solid waste pollution. To locate and segment the waste objects from the captured image data, waste object segmentation is needed. Waste object segmentation presents a complex problem due to the physical nature of solid waste in the wild. Using the TACO Dataset, this paper assesses object segmentation concerning solid waste object segmentation in the wild with engineered features. We apply a watershed and an ensemble segmentation technique and review the technique against the TACO dataset.