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.