Aeroscapes
The AeroScapes aerial semantic segmentation benchmark comprises of images captured using a commercial drone from an altitude range of 5 to 50 metres. The dataset provides 3269 720p images and ground-truth masks for 11 classes.
Instructions
Clone the repository
git clone [email protected]:ishann/aeroscapes.git
Download the data
bash download.sh
This results in the following directory
data/
aeroscapes/
JPEGImages/
3269 RGB images.
SegmentationClass/
3269 ground-truth segmentation masks.
Visualizations/
3269 RGB ground-truth segmentation visualizations.
ImageSets/
Training and validation splits for data.
aeroscapes.tar.gz
Downloaded file (local reference to avoid need for repeated downloads).
Reference
If you use AeroScapes in your research, please cite the following:
Ensemble Knowledge Transfer for Semantic Segmentation
Ishan Nigam, Chen Huang, Deva Ramanan
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision