cff-version: 1.2.0 abstract: "

AmsterTime dataset offers a collection of 2,500 well-curated images matching the same scene from a street view matched to historical archival image data from Amsterdam city. The image pairs capture the same place with different cameras, viewpoints, and appearances. Unlike existing benchmark datasets, AmsterTime is directly crowdsourced in a GIS navigation platform (Mapillary). In turn, all the matching pairs are verified by a human expert to verify the correct matches and evaluate the human competence in the Visual Place Recognition (VPR) task for further references.


The properties of the dataset are summarized as:

Two sub-tasks are created on the dataset:

" authors: - family-names: Yildiz given-names: Burak orcid: "https://orcid.org/0000-0001-9932-4221" - family-names: Khademi given-names: Seyran title: "AmsterTime: A Visual Place Recognition Benchmark Dataset for Severe Domain Shift" keywords: version: 2 identifiers: - type: doi value: 10.4121/19580806.v2 license: CC0 date-released: 2022-04-13