{"url":"/dataset/nod","name":"NOD","full_name":"Night Object Detection","description_markdown":"This is a high-quality large-scale Night Object Detection (NOD) dataset of outdoor images targeting low-light object detection. The dataset contains more than 7K images and 46K annotated objects (with bounding boxes) that belong to classes: person, bicycle, and car. The photos were taken on the streets at evening hours, and thus all images present low-light conditions to a varying degree of severity.","description_withheld":null,"homepage":"https://github.com/igor-morawski/NOD","introduced_date":"2021-10-20","introduced_date_note":null,"introduced_by":{"paper":"/paper/nod-taking-a-closer-look-at-detection-under","title":"NOD: Taking a Closer Look at Detection under Extreme Low-Light Conditions with Night Object Detection Dataset","first_author":"Igor Morawski","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Object Detection","url":"/task/object-detection","datasets_with_task":"/datasets/task/object-detection"}],"languages":[],"variants":["NOD"],"data_loaders":[{"repo":"https://github.com/igor-morawski/nod","url":"https://github.com/igor-morawski/nod","frameworks":["pytorch"]}],"num_papers_in_archive":3,"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."}