{"url":"/dataset/adobevfr-real","name":"AdobeVFR real","full_name":"Adobe Visual Font Recognition real-world images dataset","description_markdown":"Subset of AdobeVFR. The dataset contains \"real-world text images\".\r\n\r\n> 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*.\r\n\r\nThe labeled images form *VFR_real_test*. The other part of AdobeVFR consists of synthetic data (with 2383 classes).","description_withheld":null,"homepage":"","introduced_date":"2015-07-12","introduced_date_note":null,"introduced_by":{"paper":"/paper/deepfont-identify-your-font-from-an-image","title":"DeepFont: Identify Your Font from An Image","first_author":"Zhangyang Wang","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Font Recognition","url":"/task/font-recognition","datasets_with_task":"/datasets/task/font-recognition"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["AdobeVFR real"],"data_loaders":[],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/font-recognition-on-adobevfr-real","task":"Font Recognition","dataset_variant":"AdobeVFR real","rows":2,"metrics":["Top 1 Accuracy","Top 5 Accuracy","Top 5 Error Rate","Top-1 Error Rate"],"first_row_in_archive_order":{"model":"DeepFont (CAE_FR)","paper":"/paper/deepfont-identify-your-font-from-an-image","metrics":{"Top 1 Accuracy":"71.42","Top 5 Accuracy":"81.79","Top 5 Error Rate":"18.21","Top-1 Error Rate":"28.58"},"code_links":[{"title":"robinreni96/Font_Recognition-DeepFont","url":"https://github.com/robinreni96/Font_Recognition-DeepFont"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/henet-forcing-a-network-to-think-more-for","title":"HENet: Forcing a Network to Think More for Font Recognition","date":"2021-10-21","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/deepfont-identify-your-font-from-an-image","title":"DeepFont: Identify Your Font from An Image","date":"2015-07-12","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}