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FRSign
2D Box
Classification
Autonomous Driving
|...
License: Unknown

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}
}
Data Summary
Type
Image,
Amount
100K
Size
--
Provided by
Irt Systemx
An Institute for Technological Research (IRT) is an interdisciplinary thematic institute that develops economic sectors related to its field through a balanced strategic public-private partnership. For this, it manages research programs coupled with technology platforms, conducts research and development projects at the international level, contributes to the engineering of initial and continuous trainings (qualifying professional training and/or degree delivering); and ensures the exploitation of the obtained results.
| Amount 100K | Size --
FRSign
2D Box Classification
Autonomous Driving
License: Unknown

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}
}
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