NWPU-VHR-10-dataset

The NWPU VHR-10 dataset consists of 800 images, including 10 categories of objects.

Dataset download

NWPU VHR-10

References

Please cite the following relevant papers when publishing results that use this dataset fully or partly:

1. Gong Cheng, Junwei Han, Peicheng Zhou, Lei Guo. Multi-class geospatial object detection and geographic image classification based on collection of part detectors. ISPRS Journal of Photogrammetry and Remote Sensing, 98: 119-132, 2014. (http://dx.doi.org/10.1016/j.isprsjprs.2014.10.002).

2. Gong Cheng, Junwei Han. A survey on object detection in optical remote sensing images. ISPRS Journal of Photogrammetry and Remote Sensing, 117: 11-28, 2016. (http://dx.doi.org/10.1016/j.isprsjprs.2016.03.014).

3. Gong Cheng, Peicheng Zhou, Junwei Han. Learning rotation-invariant convolutional neural networks for object detection in VHR optical remote sensing images. IEEE Transactions on Geoscience and Remote Sensing, 54(12): 7405-7415, 2016. (https://dx.doi.org/10.1109/TGRS.2016.2601622).