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ZENODO
Dataset . 2023
License: CC BY NC
Data sources: ZENODO
ZENODO
Dataset . 2023
License: CC BY NC
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY NC
Data sources: Datacite
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UAVBillboards dataset

Authors: Bartosz Ptak; Marek Kraft;

UAVBillboards dataset

Abstract

UAVBillboards is a drone-captured dataset of over 1,300 urban images featuring billboard advertisements in Poznań, Poland, designed to support research in outdoor advertising detection and instance segmentation. Collected using a low-cost DJI Mini 2 drone under diverse weather and lighting conditions, the dataset includes over 5,200 annotated labels across free-standing, wall-mounted billboards, and large road signs. Each image is enriched with geolocation metadata and categorized into landscape-based splits, making UAVBillboards a valuable resource for computer vision and smart city applications. More here: https://putvision.github.io/UAVBillboards/

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average