The AmsterTime dataset is a comprehensive visual place recognition benchmark designed to address severe domain shifts. It comprises 2,500 meticulously curated image pairs of the same scenes in Amsterdam, matched from street views to historical archival images. These pairs capture identical locations using different cameras, viewpoints, and appearances.
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Key Features:
Historical Archive: Over 1,200 license-free images from the Amsterdam City Archive, documenting urban spaces from the past century.
Crowdsourced Data: Street view images sourced from Mapillary, ensuring contemporary relevance.
Human Verification: Matches verified by architectural historians and Amsterdam residents to ensure accuracy.
Diverse Image Properties: Includes variations in time, structure, occlusion, viewpoint, appearance, and illumination.
Domain Shift: Highlights significant differences between scanned archival and modern street view images, providing a challenging dataset for Visual Place Recognition (VPR) tasks.
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