Benito Altamirano, IsmaelMartínez Carpena, DavidCasals Guillén, OlgaFàbrega Gallego, CristianWaag, AndreasPrades García, Juan Daniel2023-01-252023-01-252023-022352-3409https://hdl.handle.net/2445/192566Color QR Codes are often generated to encode digital information, but one also could use colors or to allocate colors in a QR Code to act as a color calibration chart. In this dataset, we present several thousand QR Codes images generated with two different colorization algorithms (random and back-compatible) and several tuning variables in these color encoding. The QR Codes were also exposed to three different channel conditions (empty, augmentation and real-life). Also, we derive the SNR and BER computations for these QR Code in comparison with their black and white versions. Finally, we also show if ZBar, a commercial QR Code scanner, is able to read them.9 p.application/pdfengcc-by (c) Benito Altamirano, Ismael et al., 2023https://creativecommons.org/licenses/by/4.0/Visió per ordinadorReconeixement de formes (Informàtica)Computer visionPattern recognition systemsA dataset of color QR codes generated using back-compatible and random colorization algorithms exposed to different illumination-capture channel conditionsinfo:eu-repo/semantics/article7271952023-01-25info:eu-repo/semantics/openAccess