{"url":"/dataset/ebdtheque","name":"eBDtheque","full_name":null,"description_markdown":"The eBDtheque database is a selection of one hundred comic pages from America, Japan (manga) and Europe.\r\n\r\nImage source: [http://ebdtheque.univ-lr.fr/database/](http://ebdtheque.univ-lr.fr/database/)","description_withheld":null,"homepage":"http://ebdtheque.univ-lr.fr/database/","introduced_date":"2021-10-07","introduced_date_note":null,"introduced_by":null,"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Depth Estimation","url":"/task/depth-estimation","datasets_with_task":"/datasets/task/depth-estimation"}],"languages":[],"variants":["eBDtheque"],"data_loaders":[],"num_papers_in_archive":4,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/depth-estimation-on-ebdtheque","task":"Depth Estimation","dataset_variant":"eBDtheque","rows":3,"metrics":["Abs Rel","RMSE","RMSE log","Sq Rel"],"first_row_in_archive_order":{"model":"Bhattacharjee et al.","paper":"/paper/estimating-image-depth-in-the-comics-domain","metrics":{"Abs Rel":"0.376","RMSE":"1.364","RMSE log":"0.553","Sq Rel":"0.448"},"code_links":[{"title":"IVRL/ComicsDepth","url":"https://github.com/IVRL/ComicsDepth"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/estimating-image-depth-in-the-comics-domain","title":"Estimating Image Depth in the Comics Domain","date":"2021-10-07","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/towards-robust-monocular-depth-estimation","title":"Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer","date":"2019-07-02","rows_on_this_dataset":1,"code_links":16,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":17,"samples_ran":6,"samples_unverified":11,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/t2net-synthetic-to-realistic-translation-for","title":"T2Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation Tasks","date":"2018-08-04","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":17,"samples_ran":6,"samples_unverified":11,"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."}