A Global Feature-Rich Network Dataset of Cities and Dashboard for Comprehensive Urban Analyses. [PDF]
Sci Data, 2023 Yap W, Biljecki F.
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Co-Training for Unsupervised Domain Adaptation of Semantic Segmentation Models. [PDF]
Sensors (Basel), 2023 Gómez JL, Villalonga G, López AM.
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Sim2Real: Generative AI to Enhance Photorealism through Domain Transfer with GAN and Seven-Chanel-360°-Paired-Images Dataset. [PDF]
Sensors (Basel), 2023 Bresson M, Xing Y, Guo W.
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STRIDE: Street View-based Environmental Feature Detection and Pedestrian Collision Prediction. [PDF]
IEEE Int Conf Comput Vis Workshops, 2023 González C +10 more
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Application of region-based video surveillance in smart cities using deep learning. [PDF]
Multimed Tools Appl, 2021 Zahra A +4 more
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A deep learning approach to identify unhealthy advertisements in street view images. [PDF]
Sci Rep, 2021 Palmer G +5 more
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Do poverty and wealth look the same the world over? A comparative study of 12 cities from five high-income countries using street images. [PDF]
EPJ Data Sci, 2023 Suel E +11 more
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, 2015 Mapillary, founded in early 2014, is a Web 2.0 application that allows voluntary users to contribute street level photographs from all over the world. This paper analyses the growth in uploaded data and contributor numbers over time, and assesses data completeness by comparing Mapillary with Google Street View and OpenStreetMap data for selected cities
Hochmair, Hartwig, Juhasz, Levente
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Towards creating a map layer of road intersections by information extraction from Mapillary images
, 2020 Geografisk data er viktig for å forstå romlige relasjoner. Mange av dagens open-source databaser for GPS og romlige spørringer inneholder lite, til ingen data om den romlige konteksten i vegkryss. Ved å øke informasjonen i et vegkryss kan man i stede for å prosessere omgivelsene on-the-fly gjennom objektgjenkjenning, bruke ferdig prosessert data ...
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