WasteSegCluster is a dataset developed to support automated waste monitoring in aquatic environments of Bangladesh where poor waste management in canals, lakes and ponds poses serious environmental and public health challenges.Due to the lack of real-world datasets capturing waste in complex and unconstrained conditions, this dataset was created using images collected from various water bodies in Dhaka.It contains 1,947 images with approximately 3,900 annotated waste instances across four categories such as i. Composite Rubber Textile, ii.Organic, iii.Paper and iv.Plastic.All instances are annotated using polygon-based masks and provided in COCO format and it make the dataset suitable for object detection,instance segmentation and classification tasks.