ArtificialForest-HRSegDataset

Dataset Version

Version 1.0.0. This version corresponds to the dataset configuration used in the KGF-Net manuscript experiments.

Dataset Description

ArtificialForest-HRSegDataset is a high-resolution remote-sensing image segmentation dataset developed for plantation and forest-cover mapping. The dataset contains remote-sensing images and corresponding pixel-level segmentation masks used for source-domain training, target-domain fine-tuning, validation, and independent testing.

Intended Use

The dataset is intended for academic research and educational use in remote-sensing image segmentation, plantation mapping, forest monitoring, and transfer-learning studies. Users are responsible for ensuring that their use complies with the terms of the original imagery providers.

Dataset Splits

The North American source-domain subset follows an approximately 70% training, 10% validation, and 20% test division. The Asia, Europe, Africa, and FAIS target-domain subsets follow an approximately 20% fine-tuning, 10% validation, and 70% independent-test division.

License and Usage Terms

The author-created plantation annotations, segmentation masks, metadata, and processing descriptions are released under the Creative Commons Attribution 4.0 International License (CC BY 4.0).

Third-party source imagery and any material derived from such imagery remain subject to the terms, attribution requirements, and usage restrictions of the original data providers. The authors do not relicense third-party imagery. This repository therefore uses a mixed-rights license notice; see the LICENSE file for details.

Citation

Please cite the associated KGF-Net manuscript when using this dataset in academic work.