RarePlanes
RarePlanes is an open-source machine learning dataset from CosmiQ Works and AI.Reverie, designed to test the value of synthetic data in computer vision. It combines real Maxar WorldView-3 satellite imagery with synthetically generated data to enhance algorithms for automatic aircraft detection and attribute identification. This dataset is the largest openly available very high-resolution resource for synthetic data testing in an overhead perspective.
RarePlanes is a unique open-source machine learning dataset from CosmiQ Works and AI.Reverie, specifically developed to aid computer vision algorithms in automatically detecting aircraft and their attributes in satellite imagery. It focuses on demonstrating the value of AI.Reverie synthetic data. This dataset stands out as the largest openly-available very high-resolution dataset built to test the efficacy of synthetic data from an overhead perspective.
The dataset comprises a real portion of 253 Maxar WorldView-3 satellite scenes, covering 112 locations and 2,142 km^2, with 14,700 hand-annotated aircraft. Accompanying this is a synthetic dataset generated via AI.Reverie’s novel simulation platform, featuring 50,000 synthetic satellite images with approximately 630,000 aircraft annotations.
RarePlanes is licensed under CC BY-SA 4.0 and is managed by In-Q-Tel - CosmiQ Works. Comprehensive documentation is available at www.cosmiqworks.org/RarePlanes. Contact can be made via jss5102@gmail.com and avanetten@iqt.org.
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