The Large Labelled Logo Dataset (L3D): A Multipurpose and Hand-Labelled Continuously Growing Dataset
Asier Gutiérrez-Fandiño, David Pérez-Fernández, Jordi Armengol-Estapé
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- github.com/lhf-labs/tm-datasetOfficialIn papertf★ 24
Abstract
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.
Tasks
Benchmark Results
| Dataset | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| Large Labelled Logo Dataset (L3D) | L3D_original_2level | Eval F1 | 0.28 | — | Unverified |
| Large Labelled Logo Dataset (L3D) | L3D_original_3level | Eval F1 | 0.12 | — | Unverified |