Low Altitude Disaster Imagery (LADI) Dataset

aerial imagery coastal computer vision disaster response earth observation earthquakes geospatial image processing imaging infrastructure land machine learning mapping natural resource seismology transportation urban water

Description

The Low Altitude Disaster Imagery (LADI) Dataset consists of human and machine annotated airborne images collected by the Civil Air Patrol in support of various disaster responses from 2015-2019. The initial release of LADI focuses on the Atlantic hurricane seasons and coastal states along the Atlantic Ocean and Gulf of Mexico. Annotations are included for major hurricanes of Harvey, Maria, and Florence. Two key distinctions are the low altitude, oblique perspective of the imagery and disaster-related features, which are rarely featured in computer vision benchmarks and datasets.

Update Frequency

Periodically

License

Creative Commons Attribution 4.0 International (CC BY 4.0)

Documentation

https://github.com/LADI-Dataset/ladi-overview

Managed By

MIT Beaver Works

See all datasets managed by MIT Beaver Works.

Contact

ladi-dataset-admin@mit.edu

Usage Examples

Tutorials
Tools & Applications
Publications

Resources on AWS

  • Description
    LADI dataset: images and labels
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::ladi
    AWS Region
    us-west-2
    AWS CLI Access (No AWS account required)
    aws s3 ls s3://ladi/ --no-sign-request

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