{"url":"/dataset/ntlnp-wildlife-image-dataset","name":"NTLNP","full_name":"wildlife image dataset","description_markdown":"This is an image dataset for object detection of wildlife in the mixed coniferous broad-leaved forest.\r\n\r\nA total of 25,657 images in this dataset were generated from video clips taken by infrared cameras in the Northeast Tiger and Leopard National Park, including 17 main species (15 wild animals and 2 major domestic animals): Amur tiger, Amur leopard, wild boar, roe deer, sika deer, Asian black bear, red fox, Asian badger, raccoon dog, musk deer, Siberian weasel, sable, yellow-throated marten, leopard cat, Manchurian hare, cow, and dog.\r\n\r\nAll images were labeled in Pascal VOC format.\r\n\r\nThe image resolution is 1280 × 720 or 1600 × 1200 pixels.","description_withheld":null,"homepage":"","introduced_date":"2022-08-04","introduced_date_note":null,"introduced_by":null,"license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"2D Object Detection","url":"/task/2d-object-detection","datasets_with_task":"/datasets/task/2d-object-detection"}],"languages":[],"variants":["NTLNP"],"data_loaders":[{"repo":"https://github.com/myyyyw/NTLNP","url":"https://github.com/myyyyw/NTLNP","frameworks":["tf","pytorch","jax"]}],"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":"2026-09-25T09:33:49+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."}