{"url":"/dataset/navigationnet","name":"NavigationNet","full_name":null,"description_markdown":"NavigationNet is a computer vision dataset and benchmark to allow the utilization of deep reinforcement learning on scene-understanding-based indoor navigation.\r\n\r\nSource: [NavigationNet: A Large-scale Interactive Indoor Navigation Dataset](/paper/navigationnet-a-large-scale-interactive)\r\nImage Source: [https://arxiv.org/pdf/1808.08374v1.pdf](https://arxiv.org/pdf/1808.08374v1.pdf)","description_withheld":null,"homepage":"http://mvig.sjtu.edu.cn/research/nav/NavigationNet.html","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/navigationnet-a-large-scale-interactive","title":"NavigationNet: A Large-scale Interactive Indoor Navigation Dataset","first_author":"He Huang","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Scene Understanding","url":"/task/scene-understanding","datasets_with_task":"/datasets/task/scene-understanding"}],"languages":[],"variants":["NavigationNet"],"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."}