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

10 Dec 2021  ·  Asier Gutiérrez-Fandiño, David Pérez-Fernández, Jordi Armengol-Estapé ·

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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Introduced in the Paper:

Large Labelled Logo Dataset (L3D)

Results from the Paper

Task Dataset Model Metric Name Metric Value Global Rank Result Benchmark
Image Classification Large Labelled Logo Dataset (L3D) L3D_original_2level Eval F1 0.2786 # 1
Image Classification Large Labelled Logo Dataset (L3D) L3D_original_3level Eval F1 0.1155 # 2


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