Urban Blue-Green Segmentation Dataset
Published: 29 April 2026| Version 1 | DOI: 10.17632/b84y7hng4x.1
Contributor:
YIKUN RENDescription
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
- Universiti Putra MalaysiaSelangor, Seri Kembangan
Categories
Computer Science, Remote Sensing