Dataset : PolaBot

RightsAttribution, Non Commercial, Share Alike


Ralph Seulin ; Raphael Duverne ; Marc Blanchon ; Olivier Morel (2019): PolaBot. Imagerie et Vision Artificielle (EA 7535). doi:10.25666/DATAUBFC-2022-05-13-02

General metadata

Identifier : local : FR-18008901306731-2022-05-13-02 external : doi:10.25666/DATAUBFC-2022-05-13-02
Description :
PolaBot is a dataset dedicated to the polarimetric imaging of outdoor scenes.
Outdoor scenes include challenging surfaces to segment and detect : highly reflective areas such as water and windows.
This dataset is designed for research and development fields such as mobile robotics, autonomous cars and navigation, ...
In addition, this collection of information will allow a strong and efficient benchmark, giving the opportunity to compare standard modality to the polarimetry for the exact same scenes and application.
Disciplines :
computer science, software engineering (engineering science), imaging science & photographic technology (engineering science), robotics (engineering science), transportation science & technology (engineering science)
Keywords :

Dates :
Data acquisition : from 2018 to 2019
Data provision : 1 Jan 2019
Metadata record :
Creation : 13 May 2022

Update periodicity : no update
Language : French (fra)
Additional information :
Each acquisition consists of three images: the RGB color image, the raw image from the polarimetric camera and the annotated image.
Data collected as part of the thesis in instrumentation and computer vision by Marc Blanchon, co-supervised by Fabrice Mériaudeau (professor) and Olivier Morel (associated professor), ImViA, university of Burgundy, and Désiré Sidibé (professor) university of Evry.
Audience : Research

Administrative metadata

Data creatorsAffiliation
Ralph SeulinImViA (FRA)
Raphael DuverneImViA (FRA)
Marc BlanchonImViA (FRA)
Olivier MorelImViA (FRA)
Désiré SidibéUEVE (FRA)related person
Fabrice MériaudeauImViA (FRA)related person
Publisher : Imagerie et Vision Artificielle (EA 7535)
Science contact : Olivier Morel website e-mail
Projects and funders :
Access : available

Technical metadata

Formats : image/png, text/plain
Data acquisition methods :
Datatype : Dataset


  • M. Blanchon, D. Sidibé, O. Morel, R. Seulin, D. Braun and F. Meriaudeau, "P2D: a self-supervised method for depth estimation from polarimetry," 2020 25th International Conference on Pattern Recognition (ICPR), 2021, pp. 7357-7364 (doi:10.1109/ICPR48806.2021.9412441)
  • M. Blanchon, O. Morel, F. Meriaudeau, R. Seulin and D. Sidibé, "Polarimetric image augmentation," 2020 25th International Conference on Pattern Recognition (ICPR), 2021, pp. 7365-7371 (doi:10.1109/ICPR48806.2021.9412133)
  • M. Blanchon, “Polarization based urban scenes understanding” (manuscrit de thèse), 2021 (hal:tel-03469970v1)
Terms of use