Dal Lake Floating Plastic Waste Detection Dataset (FloPWD 2025)

The Dal Lake Floating Plastic Waste Detection Dataset (FloPWD 2025) presents a novel collection of about 2K high-resolution (1280×720) aerial images captured over Dal Lake, Srinagar, Jammu and Kashmir, India, along with manually annotated polygon-based segmentation masks. Each mask highlights the regions where floating plastic waste materials such as bottles, polythene bags, wrappers, and polystyrene containers are found. The images were collected using a drone-mounted aerial camera sponsored by a project funded by JKST&IC aimed at developing an AI-based software tool for environmental monitoring of water bodies. This dataset is curated to support research in plastic waste detection, environmental monitoring, and aerial image segmentation to promote the development of automated tools to aid targeted cleanup of water bodies and conservation efforts.

Supplementary Files Description(s)
(I) Image_labels_Binary Classification Task.csv -- This file provides binary classification labels for each aerial image to indicate whether visible plastic waste is present (yes) or absent (no). It enables training and evaluation of models for simple image-level classification of plastic waste occurrence without requiring segmentation.
(ii) Mask_foreground_percentages_Regression Task.csv -- This file contains the percentage of each image area covered by plastic waste, derived from the corresponding segmentation masks. It supports regression-based modeling to estimate the extent of plastic pollution in each image, useful for severity analysis and prioritization.