A synthetic outdoor waste image dataset with YOLO-format annotations for object detection

The images represent realistic outdoor environments such as streets, parks, roadsides, and public open spaces, designed to support research in environmental monitoring and intelligent waste management. The dataset includes 10 waste categories: plastic, paper, cardboard, metal, glass, organic waste, battery waste, e-waste, cloth, and other waste.

All images are resized to a fixed resolution of 640 × 640 pixels and are accompanied by normalized YOLO annotation files (class_id, x_center, y_center, width, height). In total, the dataset contains 21,057 annotated bounding boxes, with an average of 3.51 objects per image. The images were generated using a synthetic data generation pipeline, where annotated waste object instances were cropped from labeled source images and composited onto real outdoor background scenes sampled from the COCO dataset.