Papers › The Large Labelled Logo Dataset (L3D): A Multipurpose and Hand-Labelled Continuously...
The Large Labelled Logo Dataset (L3D): A Multipurpose and Hand-Labelled Continuously Growing Dataset
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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Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Image Classification | Large Labelled Logo Dataset (L3D) | L3D_original_2level | Eval F1 | 0.2786 | #1 of 2 | Archive leaderboard | report |
| Image Classification | Large Labelled Logo Dataset (L3D) | L3D_original_3level | Eval F1 | 0.1155 | #2 of 2 | Archive leaderboard | report |
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