gicait/pLitter
pLitter is a standardized, deep learning friendly dataset and pre-trained model that can be used for detecting plastic litter in streets , road-sides, etc. Additionally, all supplementary codes related to this repository are also published here.
This project helps environmental agencies, city planners, and researchers map and monitor plastic pollution in outdoor environments like streets, rivers, and coastlines. By feeding it images or videos from vehicle-mounted cameras, drones, or stationary CCTV, it identifies and locates plastic litter, outputting data that can generate heatmaps of pollution hotspots or track floating plastics over time. The primary users are professionals involved in environmental management and urban planning.
Use this if you need to systematically identify and map plastic litter across large outdoor areas or monitor floating plastics in rivers.
Not ideal if you are looking for a solution to identify microplastics or classify types of plastic beyond general 'plastic litter'.
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Last pushed
Mar 02, 2026
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