Photo by Shubham Dhage on Unsplash

RarePlanes Dataset for Machine Learning

Install DagsHub:

pip install dagshub
Click on copy button to copy content

To stream this data directly on DagsHub

from dagshub.streaming import DagsHubFilesystem

fs = DagsHubFilesystem(".", repo_url="https://dagshub.com/DagsHub-Datasets/rareplanes-dataset")

fs.listdir("s3://rareplanes-public")
Click on copy button to copy content

Description

RarePlanes is a unique open-source machine learning dataset from CosmiQ Works and AI.Reverie that incorporates both real and synthetically generated satellite imagery. The RarePlanes dataset specifically focuses on the value of AI.Reverie synthetic data to aid computer vision algorithms in their ability to automatically detect aircraft and their attributes in satellite imagery. Although other synthetic/real combination datasets exist, RarePlanes is the largest openly-available very high resolution dataset built to test the value of synthetic data from an overhead perspective. The real portion of the dataset consists of 253 Maxar WorldView-3 satellite scenes spanning 112 locations and 2,142 km^2 with 14,700 hand-annotated aircraft. The accompanying synthetic dataset is generated via AI.Reverie’s novel simulation platform and features 50,000 synthetic satellite images with ~630,000 aircraft annotations.

Additional information

Documentation

www.cosmiqworks.org/RarePlanes

Update frequency

None Planned

Managed by

In-Q-Tel – CosmiQ Works

License

Related datasets

BodyM Dataset

Cloud to Street – Microsoft Flood and Clouds Dataset

A2D2: Audi Autonomous Driving Dataset

Galaxy Evolution Explorer Satellite (GALEX)

Launch your ML development to new heights with DagsHub

Back to top