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MegaScenes

benchmark computer vision deep learning internet

Description

The MegaScenes Dataset is an extensive collection of around 430k scenes, featuring over 100k structure-from-motion reconstructions and over 2 million registered images. MegaScenes includes a diverse array of scenes, such as minarets, building interiors, statues, bridges, towers, religious buildings, and natural landscapes. The images of these scenes are captured under varying conditions, including different times of day, various weather and illumination, and from different devices with distinct camera intrinsics.

Update Frequency

The dataset will be updated periodically.

License

Creative Commons Attribution 4.0 International License. The photos have their own licenses.

Documentation

https://megascenes.github.io

Managed By

Cornell University (https://www.cs.cornell.edu/~snavely/)

See all datasets managed by Cornell University (https://www.cs.cornell.edu/~snavely/).

Contact

jt664@cornell.edu; gene@cs.cornell.edu

How to Cite

MegaScenes was accessed on DATE from https://registry.opendata.aws/megascenes.

Usage Examples

Tutorials
Tools & Applications
Publications

Resources on AWS

  • Description
    The MegaScenes Dataset is an extensive collection of around 430k scenes, featuring over 100k structure-from-motion reconstructions and over 2 million registered images. The format of the reconstructions follows COLMAP.
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::megascenes
    AWS Region
    us-east-1
    AWS CLI Access (No AWS account required)
    aws s3 ls --no-sign-request s3://megascenes/

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