X 1, y 1, x 2, y 2, x 3, y 3, x 4, y 4, category, difficult The following is an example annotation for an image: Annotations for an image are saved in a text file with the same file name.Įach line represent an instance. Starting point, which means: (a) top-left of a plane, (b) top-left corner of a large vehicle diamond,Īpart from OBB, each instance is also labeled with a category and a difficult which indicates whether the instance is difficult to be detected (1įor difficult, 0 for not difficult). The following is the visualization of annotations. The vertices are arranged inĪ clockwise order.
, where (\(x_i, y_i\)) denotes the i-th vertice of OBB. In the dataset, each object is annotated by an oriented bounding box (OBB), which can be denoted as Pool, container crane, airport and helipad. The object categories in DOTA-v2.0: plane, ship, storage tank, baseball diamond, tennis court, basketball court,
Ground track field, harbor, bridge, large vehicle, small vehicle, helicopter, roundabout, soccer ball field, swimming The object categories in DOTA-v1.5: plane, ship, storage tank, baseball diamond, tennis court, basketball court, Ground track field, harbor, bridge, large vehicle, small vehicle, helicopter, roundabout, soccer ball field and swimming The object categories in DOTA-v1.0: plane, ship, storage tank, baseball diamond, tennis court, basketball court, Use of the Google Earth images must respect theĪll images and their associated annotations in DOTAĬan be used for academic purposes only, but any commercial use is prohibited. The RGB images are from Google Earth and CycloMedia, while the grayscale images are from the panchromatic band of GF-2 and JL-1 satellite images.Īll the images are stored in 'png' formats. The DOTA images are collected from the Google Earth, GF-2 and JL-1 satellite provided by the China Centre for Resources Satellite Data and Application, and aerial images provided by CycloMedia B.V.ĭOTA consists of RGB images and grayscale images.
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