A Dataset for Lifelong Place Recognition
Mapillary Street-Level Sequences is a large dataset for urban and suburban place recognition from image sequences. It contains more than 1.6 million images curated from the Mapillary collaborative mapping platform. The dataset is orders of magnitude larger than current data sources, and is designed to reflect the diversities of true lifelong learning. It features images from 30 major cities across six continents, hundreds of distinct cameras, and substantially different viewpoints and capture times, spanning all seasons over a nine-year period. All images are geo-located with GPS and compass, and feature high-level attributes such as road type.