{"url":"/dataset/nitec","name":"NITEC","full_name":"Neuro-Information Technology Eye Contact","description_markdown":"This paper introduces NITEC, a new dataset and models for detecting eye contact from an ego-centric camera perspective. The models are trained and tested on this dataset, demonstrating strong performance and cross-dataset generalization ability. NITEC contains over 35,000 manually annotated samples from diverse sources, capturing challenging real-world conditions. Extensive experiments highlight NITEC's ability to enable training of accurate eye contact classifiers, advancing research in social human-robot interaction.","description_withheld":null,"homepage":"https://github.com/thohemp/nitec","introduced_date":"2023-11-08","introduced_date_note":null,"introduced_by":{"paper":"/paper/nitec-versatile-hand-annotated-eye-contact","title":"NITEC: Versatile Hand-Annotated Eye Contact Dataset for Ego-Vision Interaction","first_author":"Thorsten Hempel","url":null},"license":{"name":"MIT","url":"https://github.com/thohemp/nitec/blob/main/LICENSE.md"},"modalities":[],"tasks":[],"languages":[],"variants":["NITEC"],"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."}