General Object Detection in Overhead Imagery

Model by Open Source

The ability to quickly and accurately identify objects in aerial imagery can be useful in a variety of scenarios, such as urban planning, crop surveillance, and traffic surveillance. This model is trained to do so for 60 different types of objects (including buses, vehicle lots, buildings, oil tankers, etc.) using one of the largest and highest quality public datasets of annotated high-resolution satellite imagery. Covering a total area of over 45,000 square kilometers, this dataset contains many variations of each of the 60 object classes, resulting in a robust model. This model is Open Source but was developed by the Modzy data science team.


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