Dota is a large-scale dataset for object detection in aerial images. It can be used to develop and evaluate object detectors in aerial images. We will continue to update DOTA, to grow in size and scope and to reflect evolving real-world conditions. For the DOTA-v1.0, it contains 2806 aerial images from different sensors and platforms. Each image is of the size in the range from about 800 ¡Á 800 to 4000 ¡Á 4000 pixels and contains objects exhibiting a wide variety of scales, orientations, and shapes. These DOTA images are then annotated by experts in aerial image interpretation using 15 common object categories. The fully annotated DOTA images contains 188, 282 instances, each of which is labeled by an arbitrary (8 d.o.f.) quadrilateral.

Data Collection

The images of in DOTA-v1.0 dataset are manily collected from the Google Earth, some are taken by satellite JL-1, the others are taken by satellite GF-2 of the China Centre for Resources Satellite Data and Application.
Use of the images from Google Earth must respect the corresponding terms of use: "Google Earth" terms of use.