StreetScouting dataset: A Street-Level Image dataset for finetuning and applying custom object detectors for urban feature detection
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Published:2023-06
Issue:
Volume:48
Page:109042
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ISSN:2352-3409
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Container-title:Data in Brief
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language:en
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Short-container-title:Data in Brief
Author:
Moschos SotiriosORCID,
Charitidis PolychronisORCID,
Doropoulos StavrosORCID,
Avramis AnastasiosORCID,
Vologiannidis StavrosORCID
Subject
Multidisciplinary
Reference3 articles.
1. StreetScouting: A Deep Learning Platform for Automatic Detection and Geotagging of Urban Features from Street-Level Images;Charitidis;Applied Sciences,2022
2. Lin, T.Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P. and Zitnick, C.L., 2014. Microsoft coco: Common objects in context. In Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V 13 (pp. 740-755). Springer International Publishing.
Cited by
1 articles.
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