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RoofeNet-Multi: A Multi-Annotator Dataset with Per-Image Vision–Language Model Annotations for Rooftop Photovoltaic Potential Estimation in the Czech Republic

2026-01-19

Abstract excerpt

<title>Abstract</title> RoofeNet-Multiis a rooftop photovoltaic (PV) interpretation dataset designed to preserve label uncertainty in nadir aerial imagery by releasing multiple independent annotations per image. It contains 5,359 building-centered orthophoto tiles from the Czech Republic. The release provides 7,402 human annotation sets collected via a web-based platform (mean 1.38 sets per image) and one matc...

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Literature Corpus work: dc26f392-8fc5-5bed-aa96-a226311fb3a7
DOI: 10.21203/rs.3.rs-8615745/v1

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RoofeNet-Multi: A Multi-Annotator Dataset with Per-Image Vision–Language Model Annotations for Rooftop Photovoltaic Potential Estimation in the Czech RepublicDOI 10.21203/rs.3.rs-8615745/v1Read

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