In the absence of an effective trash management framework, trash finds its way into canals and drains. Trash objects, particularly plastic waste, are less prone to natural decomposition and often find their way to rivers and eventually reach the agricultural fields. Plastic waste decomposes into micro-plastics, which being produced through the combination of hazardous chemicals adversely affect the microorganisms in the agricultural soil. The existing techniques that allow for trash classification in water bodies like canals and storm drains are only limited to trash/non-trash or plastic/non- plastic classification and localization. This is mainly because of the challenges such as appearance deformation and significant occlusion. For the first time, in this work, introduce a novel 12 class dataset for the problem and propose a novel attention layer to solve the problem of trash classification and localization.