{"url":"/dataset/sydog","name":"SyDog","full_name":"A Synthetic Dog Dataset","description_markdown":"SyDog is a synthetic dataset of dogs containing ground truth pose and bounding box coordinates which was generated using the game engine, Unity.\r\n\r\nSource: [SyDog: A Synthetic Dog Dataset for Improved 2D Pose Estimation](https://paperswithcode.com/paper/sydog-a-synthetic-dog-dataset-for-improved-2d)\r\n\r\nImage source: [SyDog: A Synthetic Dog Dataset for Improved 2D Pose Estimation](https://paperswithcode.com/paper/sydog-a-synthetic-dog-dataset-for-improved-2d)","description_withheld":null,"homepage":"https://mshooter.github.io/SyDog/","introduced_date":"2021-07-31","introduced_date_note":null,"introduced_by":{"paper":"/paper/sydog-a-synthetic-dog-dataset-for-improved-2d","title":"SyDog: A Synthetic Dog Dataset for Improved 2D Pose Estimation","first_author":"Moira Shooter","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[],"languages":[],"variants":["SyDog"],"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."}