Datasheet: Hand-Labeled Road Surface Conditions in New York State Department of Transportation Camera Images

This datasheet serves as data documentation for research being conducted at the University at Albany (State University of New York) and the New York State Department of Transportation to automatically predict weather-related road surface conditions. Specifically, a hand-labeled image dataset (occasionally referred to as simply the "dataset") is discussed in detail in this document. Please cite this work if the labeling methods or other details presented in this datasheet are used in your research. The template for this datasheet is provided by Gebru et al. (2021), and Cao and Daumé III (2020) is used as a reference example of another published datasheet. This material is based upon work supported by the U.S. National Science Foundation under Grant No. RISE-2019758.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-08
DOI
https://doi.org/10.5281/zenodo.17080579
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
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article

Datasheet: Hand-Labeled Road Surface Conditions in New York State Department of Transportation Camera Images

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Datasheet: Hand-Labeled Road Surface Conditions in New York State Department of Transportation Camera Images

article en

Abstract

This datasheet serves as data documentation for research being conducted at the University at Albany (State University of New York) and the New York State Department of Transportation to automatically predict weather-related road surface conditions. Specifically, a hand-labeled image dataset (occasionally referred to as simply the "dataset") is discussed in detail in this document. Please cite this work if the labeling methods or other details presented in this datasheet are used in your research. The template for this datasheet is provided by Gebru et al. (2021), and Cao and Daumé III (2020) is used as a reference example of another published datasheet. This material is based upon work supported by the U.S. National Science Foundation under Grant No. RISE-2019758.

Zenodo (CERN European Organization for Nuclear Research)
NSF National Center for Atmospheric Research (US), Albany State University (US), Weatherford (Switzerland) (CH), University at Albany, State University of New York (US)
Openalex Percentile: Top 49%
Geochemistry and Geologic Mapping
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