{"url":"/dataset/panonavi-dataset","name":"Spherical-Navi","full_name":null,"description_markdown":"A novel 360◦ fisheye panoramas dataset, i.e., the Spherical-Navi image dataset is collected, with a unique labeling strategy enabling automatic generation of an arbitrary number of negative samples (wrong heading direction).\r\n\r\nSource: [Convolutional Neural Network-Based Robot Navigation Using Uncalibrated Spherical Images](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492478/pdf/sensors-17-01341.pdf)","description_withheld":null,"homepage":"https://hijeffery.github.io/PanoNavi/","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[],"languages":[],"variants":["Spherical-Navi"],"data_loaders":[],"num_papers_in_archive":0,"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."}