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FRSign
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Jun 20, 2021 9:56 AM
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Overview

FRSign, a large-scale and accurate dataset for vision-based railway traffic light detection and recognition.

It contains more than 100,000 images illustrating six types of French railway traffic lights and their possible color combinations, together with the relevant information regarding their acquisition such as date, time, sensor parameters, and bounding boxes.

Citation

Please use the following citation when referencing the dataset:

@ARTICLE{2020arXiv200205665H,
       author = {{Harb}, Jeanine and {R{\'e}b{\'e}na}, Nicolas and {Chosidow}, Rapha{\"e}l
and {Roblin}, Gr{\'e}goire and {Potarusov}, Roman and {Hajri}, Hatem},
        title = "{FRSign: A Large-Scale Traffic Light Dataset for Autonomous Trains}",
      journal = {arXiv e-prints},
     keywords = {Computer
Science - Computers and Society, Computer Science - Computer Vision and Pattern Recognition,
Computer Science - Machine Learning},
         year = "2020",
        month = "Feb",
          eid = {arXiv:2002.05665},
        pages = {arXiv:2002.05665},
archivePrefix = {arXiv},
       eprint = {2002.05665},
 primaryClass = {cs.CY},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2020arXiv200205665H},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
🎉Many thanks to Graviti Open Datasets for contributing the dataset
Basic Information
Application ScenariosNot Available
AnnotationsNot Available
TasksNot Available
LicenseUnknown
Updated on2021-01-20 04:00:50
Metadata
Data TypeNot Available
Data Volume100,000
Annotation Amount0
File Size0.00B
Copyright Owner
Irt Systemx
Annotator
Unknown