paper-with-me

AdobeVFR real

Adobe Visual Font Recognition real-world images dataset

· 논문 3편

Subset of AdobeVFR. The dataset contains "real-world text images". > We collected 201,780 text images from various typography forums, where people post these images seeking help from experts to identify the fonts. Most of them come with hand-annotated font labels which may be inaccurate. (...) Finally, we obtain 4,384 real-world test images with reliable labels, covering 617 classes (out of 2,383). (...) Removing the 4,384 labeled images from the full set, we are left with 197,396 unlabeled real- world images which we denote as *VFR_real_u*. The labeled images form *VFR_real_test*. The other part of AdobeVFR consists of synthetic data (with 2383 classes).

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Font Recognition on AdobeVFR real 결과 2개