{"url":"/dataset/si-score-1","name":"SI-Score","full_name":null,"description_markdown":"**SI-SCORE** is a synthetic dataset for the analysis of robustness to object location, rotation and size. It consists of images that vary only for factors like object size and object location.\r\n\r\nSI-SCORE was built by taking objects and backgrounds and systematically varying object size, location and rotation angle so that the effect of changing these factors on model performance can be studied.","description_withheld":null,"homepage":"https://github.com/google-research/si-score","introduced_date":"2021-04-09","introduced_date_note":null,"introduced_by":{"paper":"/paper/si-score-an-image-dataset-for-fine-grained","title":"SI-Score: An image dataset for fine-grained analysis of robustness to object location, rotation and size","first_author":"Jessica Yung","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Image Classification","url":"/task/image-classification","datasets_with_task":"/datasets/task/image-classification"}],"languages":[],"variants":["SI-Score"],"data_loaders":[{"repo":"https://github.com/google-research/si-score","url":"https://github.com/google-research/si-score","frameworks":["tf"]}],"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."}