{"url":"/dataset/afw","name":"AFW","full_name":"Annotated Faces in the Wild","description_markdown":"**AFW** (**Annotated Faces in the Wild**) is a face detection dataset that contains 205 images with 468 faces. Each face image is labeled with at most 6 landmarks with visibility labels, as well as a bounding box.\r\n\r\nSource: [Face detection, pose estimation, and landmark localization in the wild](https://ieeexplore.ieee.org/document/6248014)","description_withheld":null,"homepage":"","introduced_date":"2012-01-01","introduced_date_note":null,"introduced_by":{"paper":null,"title":"Face detection, pose estimation, and landmark localization in the wild","first_author":null,"url":"https://doi.org/10.1109/CVPR.2012.6248014"},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Face Alignment","url":"/task/face-alignment","datasets_with_task":"/datasets/task/face-alignment"},{"name":"Facial Landmark Detection","url":"/task/facial-landmark-detection","datasets_with_task":"/datasets/task/facial-landmark-detection"},{"name":"Face Detection","url":"/task/face-detection","datasets_with_task":"/datasets/task/face-detection"}],"languages":[{"name":"Indonesian","url":"/datasets/language/indonesian"}],"variants":["AFW","Annotated Faces in the Wild"],"data_loaders":[{"repo":"https://github.com/activeloopai/Hub","url":"https://docs.activeloop.ai/datasets/afw-dataset","frameworks":["tf","pytorch"]}],"num_papers_in_archive":154,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/face-detection-on-annotated-faces-in-the-wild","task":"Face Detection","dataset_variant":"Annotated Faces in the Wild","rows":7,"metrics":["AP"],"first_row_in_archive_order":{"model":"SRN","paper":"/paper/selective-refinement-network-for-high","metrics":{"AP":"0.9987"},"code_links":[{"title":"ChiCheng123/SRN","url":"https://github.com/ChiCheng123/SRN"},{"title":"faridSam/srn","url":"https://github.com/faridSam/srn"},{"title":"glarbi/Face-detection","url":"https://github.com/glarbi/Face-detection"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/selective-refinement-network-for-high","title":"Selective Refinement Network for High Performance Face Detection","date":"2018-09-07","rows_on_this_dataset":1,"code_links":3,"syntology":null},{"paper":"/paper/faceboxes-a-cpu-real-time-face-detector-with","title":"FaceBoxes: A CPU Real-time Face Detector with High Accuracy","date":"2017-08-17","rows_on_this_dataset":1,"code_links":11,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":1,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/recurrent-scale-approximation-for-object","title":"Recurrent Scale Approximation for Object Detection in CNN","date":"2017-07-29","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/supervised-transformer-network-for-efficient","title":"Supervised Transformer Network for Efficient Face Detection","date":"2016-07-19","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/face-detection-with-end-to-end-integration-of","title":"Face Detection with End-to-End Integration of a ConvNet and a 3D Model","date":"2016-06-02","rows_on_this_dataset":1,"code_links":5,"syntology":null},{"paper":"/paper/hyperface-a-deep-multi-task-learning","title":"HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition","date":"2016-03-03","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/a-fast-and-accurate-unconstrained-face","title":"A Fast and Accurate Unconstrained Face Detector","date":"2014-08-06","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":1,"samples_ran":1,"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."}