Images

AdobeVFR syn

Adobe Visual Font Recognition synthetic dataset

Introduced in DeepFont: Identify Your Font from An Image2015

About this Dataset

Subset of AdobeVFR. The dataset contains images depicting English text and consists of 1000 synthetic images for training and 100 for testing, for each of 2383 font classes. The training and test sets are called VFR_syn_train and VFR_syn_val, respectively.

The other part of AdobeVFR consists of "real-world text images".

Dataset Variants

AdobeVFR syn

Papers1

DeepFont: Identify Your Font from An Image

This work builds up the first available large-scale VFR dataset, named AdobeVFR, consisting of both labeled synthetic data and partially labeled real-world data, and introduces a Convolutional Neural Network decomposition approach and a novel learning-based model compression approach in order to reduce the DeepFont model size without sacrificing its performance.

Tasks

EDIT

Font Recognition

Similar Datasets

MNIST

CelebA

JFT-300M

Statistics

Papers

1

Tasks

32

Introduced

2015

Modalities

Images

Languages

English