Datasets › VFR-2420

VFR-2420

Introduced by Guang Chen et al. in Large-Scale Visual Font Recognition1 Jun 2014 archive 2025-07-28

A synthetic dataset containing word images of 447 typefaces with font variations for each typeface, created for visual font recognition.

We collect in total 447 typefaces, each with different number of variations resulting from combinations of different styles, e.g., regular, semibold, bold, black, and italic, leading to 2,420 font classes in the end.

Each class in VFR-447 and VFR-2420 has 1,000 synthetic word images, which are evenly split into 500 training and 500 testing. There are no common words between the training and testing images.

To model the realistic use cases, we add moderate distortions and noise to the synthetic data.

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Font Recognition VFR-2420 LFE (FS, template model size 2048) Top 1 Accuracy 72.5 Large-Scale Visual Font Recognition — 1 Compare

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 1. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Large-Scale Visual Font Recognition 0 1 1 Jun 2014 not harvested

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • VFR-2420

1 variant name, as the archive lists them.

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