{"url":"/dataset/visual-servoing","name":"Visual Servoing","full_name":null,"description_markdown":"Dataset for visual servoing (VS) and camera pose estimation. \r\nThe images were obtained by a manipulator robot with an eye-in-hand camera in different poses. \r\nThe labels represent the camera pose. \r\nIt is possible to obtain the absolute pose of the camera without any pre-processing of the dataset, as well as the relative pose between images through matrix transformations. \r\nOne may also use the dataset to get the camera's 6DoF speeds so that the visual servo control between two images can be performed.","description_withheld":null,"homepage":"https://github.com/RauldeQueirozMendes/VSDataset","introduced_date":"2020-10-13","introduced_date_note":null,"introduced_by":{"paper":"/paper/real-time-deep-learning-approach-to-visual","title":"Real-Time Deep Learning Approach to Visual Servo Control and Grasp Detection for Autonomous Robotic Manipulation","first_author":null,"url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["Visual Servoing"],"data_loaders":[{"repo":"https://github.com/RauldeQueirozMendes/VSDataset","url":"https://github.com/RauldeQueirozMendes/VSDataset","frameworks":[]}],"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."}