{"url":"/dataset/ijb-s","name":"IJB-S","full_name":"IARPA Janus Benchmark-S","description_markdown":"[Paper Abstract](http://biometrics.cse.msu.edu/Publications/Face/Kalkaetal_IJBSIARPPAJanusSurveillanceVideoBenchmark_BTAS2018.pdf)\r\n\r\nWe present IJB–S dataset, an open-source IARPA Janus Surveillance Video Benchmark and associated protocols. The dataset consists of images and surveillance video collected from 202 subjects at a Department of Defense (DoD) training facility. Surveillance video was captured across multiple vignettes representative of a variety of real-world surveillance use cases that are particularly of interest to law enforcement and national security communities. Each video was annotated by human subject matter experts in order to generate ground truth identity and bounding box face labels. In total, over 10 million annotations were collected for the dataset.","description_withheld":null,"homepage":"http://biometrics.cse.msu.edu/Publications/Face/Kalkaetal_IJBSIARPPAJanusSurveillanceVideoBenchmark_BTAS2018.pdf","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Face Recognition","url":"/task/face-recognition","datasets_with_task":"/datasets/task/face-recognition"},{"name":"Face Verification","url":"/task/face-verification","datasets_with_task":"/datasets/task/face-verification"},{"name":"Surveillance-to-Single","url":"/task/surveillance-to-single","datasets_with_task":"/datasets/task/surveillance-to-single"},{"name":"Surveillance-to-Booking","url":"/task/surveillance-to-booking","datasets_with_task":"/datasets/task/surveillance-to-booking"},{"name":"Surveillance-to-Surveillance","url":"/task/surveillance-to-surveillance","datasets_with_task":"/datasets/task/surveillance-to-surveillance"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["IJB-S"],"data_loaders":[],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/face-verification-on-ijb-s","task":"Face Verification","dataset_variant":"IJB-S","rows":2,"metrics":["Rank-1 (Video2Booking)","Rank-1 (Video2Single)","Rank-1 (Video2Video)"],"first_row_in_archive_order":{"model":"AdaFace+CSFM","paper":"/paper/controllable-and-guided-face-synthesis-for","metrics":{"Rank-1 (Video2Booking)":"72.65","Rank-1 (Video2Single)":"72.54","Rank-1 (Video2Video)":"39.14"},"code_links":[{"title":"Faceplugin-ltd/FaceRecognition-Android","url":"https://github.com/Faceplugin-ltd/FaceRecognition-Android"},{"title":"FaceOnLive/Face-Recognition-SDK-Android","url":"https://github.com/FaceOnLive/Face-Recognition-SDK-Android"},{"title":"liuf1990/CFSM","url":"https://github.com/liuf1990/CFSM"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/controllable-and-guided-face-synthesis-for","title":"Controllable and Guided Face Synthesis for Unconstrained Face Recognition","date":"2022-07-20","rows_on_this_dataset":2,"code_links":3,"syntology":null}],"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."}