RVL-CDIP (Ryerson Vision Lab Complex Document Information Processing)

doi:doi:10.57702/z64bvxse

RVL-CDIP (Ryerson Vision Lab Complex Document Information Processing)

Document digitization has become a common practice in a wide variety of industries that deal with vast amounts of archives. Document classiﬁcation is a task to face when trying to automate their document processes, but high intra-class and low inter-class variability between documents have made this a challenging problem.

BibTex:

@dataset{Javier_Ferrando_and_Juan_Luis_Domnguez_and_Jordi_Torres_and_Ral_Garca_and_David_Garca_and_Daniel_Garrido_and_Jordi_Cortada_and_Mateo_Valero_2024,
    abstract = {Document digitization has become a common practice in a wide variety of industries that deal with vast amounts of archives. Document classiﬁcation is a task to face when trying to automate their document processes, but high intra-class and low inter-class variability between documents have made this a challenging problem.},
    author = {Javier Ferrando and Juan Luis Domnguez and Jordi Torres and Ral Garca and David Garca and Daniel Garrido and Jordi Cortada and Mateo Valero},
    doi = {10.57702/z64bvxse},
    institution = {No Organization},
    keyword = {'Deep Learning', 'Document Image Classiﬁcation', 'Parallel Systems'},
    month = {dec},
    publisher = {TIB},
    title = {RVL-CDIP (Ryerson Vision Lab Complex Document Information Processing)},
    url = {https://service.tib.eu/ldmservice/dataset/rvl-cdip--ryerson-vision-lab-complex-document-information-processing-},
    year = {2024}
}