This dataset is provided for research on aerial
image segmentation. The dataset contains 80
aerial images with spatial resolution ranging from 0.3 to
1.0. The image set contains different scenes, including
residential, city, warehouse and power plants. The size of each
image is 512-by-512 pixels. Four human subjects were assigned
manually segment the images. The following figure shows five images in
the dataset and the corresponding human segmentations.
Aerial Image Segmentation Dataset
The plot below shows the benchmarking results of 7 segmentation
algorithms. Please refer to our paper for details.
Please cite the following paper if you use this dataset.
Jiangye Yuan, Shaun S. Gleason, and Anil M. Cheriyadat, “Systematic
Benchmarking for Aerial Image Segmentation,” Geoscience and Remote
Sensing Letters, vol. 10, pp. 1527-1531, 2013.
You can download the images and human segmentations from here.
Please address questions to yuanj at ornl dot gov.