MegaScenes: 430k Scenes with 3D Reconstructions and 2 Million Images
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Description
The MegaScenes Dataset is a collection of around 430,000 scenes, featuring over 100,000 structure-from-motion reconstructions and over 2 million registered images. It includes a diverse array of scenes such as minarets, building interiors, statues, bridges, towers, religious buildings, and natural landscapes. The dataset was contributed by Cornell University and is available under a CC-BY-4.0 license.
Use Cases
Training and benchmarking 3D reconstruction models based on the over 100,000 structure-from-motion reconstructions.
Developing algorithms for visual localization and mapping based on the 2 million registered images.
Researching view synthesis and novel view generation based on images captured under varying conditions.
Analyzing scene representation and feature matching across diverse scenes like buildings, statues, and landscapes.
Strengths
Large scale with approximately 430,000 scenes.
Includes over 100,000 3D reconstructions and over 2 million images.
Contains diverse scene types, including man-made structures and natural landscapes.
Images were captured under varying conditions of time, weather, illumination, and camera intrinsics.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count for specific data components is unknown, which may limit suitability assessment.
Last update date is unknown; freshness unverified.
Provenance
Source
Cornell University (https://www.cs.cornell.edu/~snavely/)
Collection Method
Collection of structure-from-motion reconstructions and registered images from various sources and conditions.
Time Range
null
Freshness
Last updated: unknown
Geography
null
Data is hosted on AWS S3; familiarity with accessing S3 buckets may be required.