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DOTA

Dataset for Object deTection in Aerial Images

DOTA

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. The images are collected from different sensors and platforms. Each image is of the size in the range from 800 Ă— 800 to 20,000 Ă— 20,000 pixels and contains objects exhibiting a wide variety of scales, orientations, and shapes. The instances in DOTA images are annotated by experts in aerial image interpretation by arbitrary (8 d.o.f.) quadrilateral. We will continue to update DOTA, to grow in size and scope to reflect evolving real-world conditions. Now it has three versions:

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Task
Object Detection
Annotation Types
Bounding Boxes
11268
Items
18
Classes
11268
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Unknown
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