{"url":"/dataset/vocedits","name":"VOCEdits","full_name":null,"description_markdown":"VOCEdits: A benchmark for precise geometric object-level editing\r\nSample format: (input image, edit prompt, input mask, ground-truth output mask, ...)","description_withheld":null,"homepage":"https://huggingface.co/datasets/monurcan/precise_benchmark_for_object_level_image_editing","introduced_date":"2025-04-10","introduced_date_note":null,"introduced_by":{"paper":"/paper/poem-precise-object-level-editing-via-mllm","title":"POEM: Precise Object-level Editing via MLLM control","first_author":"Marco Schouten","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["VOCEdits"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"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."}