{"url":"/dataset/funkpoint","name":"FunKPoint","full_name":null,"description_markdown":"**FunKPoint** is a dataset for finding correspondences in visual data that has ground truth correspondences for 10 tasks and 20 object categories.","description_withheld":null,"homepage":"https://agi-labs.github.io/FuncCorr/","introduced_date":"2021-09-02","introduced_date_note":null,"introduced_by":{"paper":"/paper/the-functional-correspondence-problem","title":"The Functional Correspondence Problem","first_author":"Zihang Lai","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Semantic correspondence","url":"/task/semantic-correspondence","datasets_with_task":"/datasets/task/semantic-correspondence"}],"languages":[],"variants":["FunKPoint"],"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."}