{"url":"/dataset/adobevfr","name":"AdobeVFR syn","full_name":"Adobe Visual Font Recognition synthetic dataset","description_markdown":"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.\r\n\r\nThe other part of AdobeVFR consists of \"real-world text images\".","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 syn"],"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-syn","task":"Font Recognition","dataset_variant":"AdobeVFR syn","rows":5,"metrics":["Top 1 Accuracy","Top 5 Accuracy","Top-1 Error Rate","Top 5 Error Rate"],"first_row_in_archive_order":{"model":"DeepFont (S)","paper":"/paper/deepfont-identify-your-font-from-an-image","metrics":{"Top 1 Accuracy":"98.97","Top 5 Accuracy":"100","Top 5 Error Rate":"0","Top-1 Error Rate":"1.03"},"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/fontnet-on-device-font-understanding-and","title":"FONTNET: On-Device Font Understanding and Prediction Pipeline","date":"2021-03-30","rows_on_this_dataset":1,"code_links":0,"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":3,"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."}