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The Large Labelled Logo Dataset (L3D): A Multipurpose and Hand-Labelled Continuously Growing Dataset

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arxiv 2112.05404 v1 pith:MSCAXUVD submitted 2021-12-10 cs.CV cs.LG

Asier Gutiérrez-Fandiño , David Pérez-Fernández , Jordi Armengol-Estapé This is my paper · ORCID
classification cs.CVcs.LG
keywords datasetlogoclassificationcontinuouslyeuipofigurativegrowinghand-labelled
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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.

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