{"url":"/dataset/scribble","name":"Scribble","full_name":null,"description_markdown":"**Scribble** is a new outline dataset consisting of 200 images (150 train, 50 test) for each of 10 classes – basketball, chicken, cookie, cupcake, moon, orange, soccer, strawberry, watermelon and pineapple. All the images have a white background and were collected using search keywords on popular search engines. In each image, we obtain rough\r\noutlines for the image. We find the largest blob in the image after thresholding it into a black and white image. We fill the interior holes of the largest blob and obtain a smooth outline using the SavitzkyGolay filter.\r\n\r\nSource: [https://arxiv.org/pdf/1909.11081v2.pdf](https://arxiv.org/pdf/1909.11081v2.pdf)","description_withheld":null,"homepage":"https://github.com/arnabgho/iSketchNFill#scribble-dataset","introduced_date":"2019-09-24","introduced_date_note":null,"introduced_by":{"paper":"/paper/interactive-sketch-fill-multiclass-sketch-to","title":"Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation","first_author":"Arnab Ghosh","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Sketch-to-Image Translation","url":"/task/sketch-to-image-translation","datasets_with_task":"/datasets/task/sketch-to-image-translation"}],"languages":[],"variants":["Scribble"],"data_loaders":[{"repo":"https://github.com/arnabgho/iSketchNFill","url":"https://github.com/arnabgho/iSketchNFill","frameworks":["pytorch"]}],"num_papers_in_archive":8,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/sketch-to-image-translation-on-scribble","task":"Sketch-to-Image Translation","dataset_variant":"Scribble","rows":2,"metrics":["FID","Accuracy","Human (%)"],"first_row_in_archive_order":{"model":"AODB (full)","paper":"/paper/adversarial-open-domain-adaption-for-sketch","metrics":{"Accuracy":"50%","FID":"109.5","Human (%)":"28.80"},"code_links":[{"title":"Mukosame/Anime2Sketch","url":"https://github.com/Mukosame/Anime2Sketch"},{"title":"Mukosame/AODA","url":"https://github.com/Mukosame/AODA"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/adversarial-open-domain-adaption-for-sketch","title":"Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis","date":"2021-04-12","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/image-generation-from-freehand-scene-sketches","title":"SketchyCOCO: Image Generation from Freehand Scene Sketches","date":"2020-03-05","rows_on_this_dataset":1,"code_links":2,"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."}