Urban Blue-Green Segmentation Dataset

Published: 29 April 2026| Version 1 | DOI: 10.17632/b84y7hng4x.1
Contributor:
YIKUN REN

Description

This dataset contains training and validation images used for urban blue-green segmentation experiments. The dataset includes representative subsets of training images, validation images, and corresponding annotation labels. The data are organized into training and validation sets for model development and evaluation.

Files

Steps to reproduce

This dataset contains training and validation data for urban blue-green segmentation. Data structure: - train/images - train/labels - val/images - val/labels The dataset is designed for deep learning segmentation tasks such as YOLO-based models. Images are annotated for urban water bodies and green spaces.

Institutions

Categories

Computer Science, Remote Sensing

Licence