{"url":"/dataset/ntop","name":"NToP","full_name":null,"description_markdown":"Human pose estimation (HPE) in the top-view using fisheye cameras presents a promising and innovative application domain. However, the availability of datasets capturing this viewpoint is extremely limited, especially those with high-quality 2D and 3D keypoint annotations. Addressing this gap, we leverage the capabilities of Neural Radiance Fields (NeRF) technique to establish a comprehensive pipeline for generating human pose datasets from existing 2D and 3D datasets, specifically tailored for the top-view fisheye perspective. Through this pipeline, we create a novel dataset NToP (NeRF-powered Top-view human Pose dataset for fisheye cameras) with over 570 thousand images, and conduct an extensive evaluation of its efficacy in enhancing neural networks for 2D and 3D top-view human pose estimation. Extensive evaluations on existing top-view 2D and 3D HPE datasets as well as our new real-world top-view 2D HPE dataset OmniLab prove that our dataset is effective and exceeds previous datasets in this field of research.","description_withheld":null,"homepage":"https://www.tu-chemnitz.de/etit/dst/forschung/comp_vision/datasets/ntop/index.php.en","introduced_date":"2024-02-28","introduced_date_note":null,"introduced_by":{"paper":"/paper/ntop-nerf-powered-large-scale-dataset","title":"NToP: NeRF-Powered Large-scale Dataset Generation for 2D and 3D Human Pose Estimation in Top-View Fisheye Images","first_author":"Jingrui Yu","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"3d meshes","url":"/datasets/modality/3d-meshes"}],"tasks":[{"name":"Pose Estimation","url":"/task/pose-estimation","datasets_with_task":"/datasets/task/pose-estimation"},{"name":"3D Pose Estimation","url":"/task/3d-pose-estimation","datasets_with_task":"/datasets/task/3d-pose-estimation"}],"languages":[],"variants":["NToP"],"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."}