2021/12/10 by Asier Gutiérrez-Fandiño, David Pérez‐Fernández, Gutiérrez-Fandiño, Asier +4
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Machine Learning (cs.LG) #cs.CV #cs.LG
paper · pdf · doi:10.48550/arxiv.2112.05404
arxiv created 2021/12/10 · openalex publication_date 2021/12/10 · arxiv updated 2021/12/13 · openalex created_date 2021/12/31 · openalex updated_date 2026/07/28
In this work, we present the Large Labelled Logo Dataset (L3D), a multipurpose, hand-labelled, continuously growing dataset. It is composed of around 770k of color 256x256 RGB images extracted from the European Union Intellectual Property Office (EUIPO) open registry. Each of them is associated to multiple labels that classify the figurative and textual elements that appear in the images. These annotations have been classified by the EUIPO evaluators using the Vienna classification, a hierarchical classification of figurative marks. We suggest two direct applications of this dataset, namely, logo classification and logo generation.