{"url":"/dataset/sidar-dataset","name":"SIDAR","full_name":null,"description_markdown":"**SIDAR** is a dataset designed to be a training and evaluation set for a multitude of tasks involving image alignment and artifact removal, such as deep homography estimation, dense image matching, 2D bundle adjustment, inpainting, shadow removal, denoising, content retrieval, and background subtraction.\r\n\r\nSource: [SIDAR: Synthetic Image Dataset for Alignment & Restoration](https://arxiv.org/pdf/2305.12036v1.pdf)","description_withheld":null,"homepage":"https://github.com/niika/SIDAR","introduced_date":"2023-05-19","introduced_date_note":null,"introduced_by":{"paper":"/paper/sidar-synthetic-image-dataset-for-alignment","title":"SIDAR: Synthetic Image Dataset for Alignment & Restoration","first_author":"Monika Kwiatkowski","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["SIDAR"],"data_loaders":[],"num_papers_in_archive":2,"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."}