{"url":"/dataset/pmd","name":"PMD","full_name":null,"description_markdown":"We propose a large-scale benchmark here, which contains a total of 6,461 mirror images with ground truth annotations.","description_withheld":null,"homepage":"","introduced_date":"2020-06-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/progressive-mirror-detection","title":"Progressive Mirror Detection","first_author":"Jiaying Lin","url":null},"license":null,"modalities":[],"tasks":[{"name":"Image Segmentation","url":"/task/image-segmentation","datasets_with_task":"/datasets/task/image-segmentation"},{"name":"Mirror Detection","url":"/task/mirror-detection","datasets_with_task":"/datasets/task/mirror-detection"}],"languages":[],"variants":["PMD"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/facebook/pmd","frameworks":["tf","pytorch","jax"]}],"num_papers_in_archive":18,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/image-segmentation-on-pmd","task":"Image Segmentation","dataset_variant":"PMD","rows":5,"metrics":["IoU","F-measure","MAE"],"first_row_in_archive_order":{"model":"SAM2-UNet","paper":"/paper/sam2-unet-segment-anything-2-makes-strong","metrics":{"F-measure":"0.826","IoU":"0.728","MAE":"0.027"},"code_links":[{"title":"wzh0120/sam2-unet","url":"https://github.com/wzh0120/sam2-unet"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/sam2-unet-segment-anything-2-makes-strong","title":"SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation","date":"2024-08-16","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":9,"samples_ran":5,"samples_unverified":4,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/efficient-mirror-detection-via-multi-level","title":"Efficient Mirror Detection via Multi-level Heterogeneous Learning","date":"2022-11-28","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/learning-semantic-associations-for-mirror","title":"Learning Semantic Associations for Mirror Detection","date":"2022-01-01","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/progressive-mirror-detection","title":"Progressive Mirror Detection","date":"2020-06-01","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/where-is-my-mirror","title":"Where Is My Mirror?","date":"2019-08-24","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":9,"samples_ran":5,"samples_unverified":4,"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."}