{"url":"/dataset/fddb","name":"FDDB","full_name":"Face Detection Dataset and Benchmark","description_markdown":"The **Face Detection Dataset and Benchmark** (**FDDB**) dataset is a collection of labeled faces from Faces in the Wild dataset. It contains a total of 5171 face annotations, where images are also of various resolution, e.g. 363x450 and 229x410. The dataset incorporates a range of challenges, including difficult pose angles, out-of-focus faces and low resolution. Both greyscale and color images are included.\r\n\r\nSource: [A Comparison of CNN-based Face and Head Detectors for Real-Time Video Surveillance Applications](https://arxiv.org/abs/1809.03336)","description_withheld":null,"homepage":"http://vis-www.cs.umass.edu/fddb/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":null,"title":"Fddb: A benchmark for face detection in unconstrained settings","first_author":null,"url":"http://vis-www.cs.umass.edu/fddb/fddb.pdf"},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Face Detection","url":"/task/face-detection","datasets_with_task":"/datasets/task/face-detection"}],"languages":[],"variants":["FDDB"],"data_loaders":[{"repo":"https://github.com/Avik-Jain/100-Days-Of-ML-Code","url":"https://github.com/Avik-Jain/100-Days-Of-ML-Code","frameworks":["tf"]}],"num_papers_in_archive":165,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/face-detection-on-fddb","task":"Face Detection","dataset_variant":"FDDB","rows":11,"metrics":["AP","Accuracy"],"first_row_in_archive_order":{"model":"DSFD","paper":"/paper/dsfd-dual-shot-face-detector","metrics":{"AP":"0.991"},"code_links":[{"title":"Tencent/FaceDetection-DSFD","url":"https://github.com/Tencent/FaceDetection-DSFD"},{"title":"hukkelas/DSFD-Pytorch-Inference","url":"https://github.com/hukkelas/DSFD-Pytorch-Inference"},{"title":"lijiannuist/lightDSFD","url":"https://github.com/lijiannuist/lightDSFD"},{"title":"code-implementation1/Code3","url":"https://github.com/code-implementation1/Code3/tree/main/FaceDetection"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/condensation-net-memory-efficient-network","title":"Condensation-Net: Memory-Efficient Network Architecture with Cross-Channel Pooling Layers and Virtual Feature Maps","date":"2021-04-29","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/ifq-net-integrated-fixed-point-quantization","title":"IFQ-Net: Integrated Fixed-point Quantization Networks for Embedded Vision","date":"2019-11-19","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/lffd-a-light-and-fast-face-detector-for-edge","title":"LFFD: A Light and Fast Face Detector for Edge Devices","date":"2019-04-24","rows_on_this_dataset":1,"code_links":15,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":5,"samples_ran":1,"samples_unverified":4,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/dsfd-dual-shot-face-detector","title":"DSFD: Dual Shot Face Detector","date":"2018-10-24","rows_on_this_dataset":1,"code_links":4,"syntology":null},{"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/pyramidbox-a-context-assisted-single-shot","title":"PyramidBox: A Context-assisted Single Shot Face Detector","date":"2018-03-21","rows_on_this_dataset":1,"code_links":5,"syntology":null},{"paper":"/paper/detecting-faces-using-region-based-fully","title":"Detecting Faces Using Region-based Fully Convolutional Networks","date":"2017-09-14","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/s3fd-single-shot-scale-invariant-face","title":"S$^3$FD: Single Shot Scale-invariant Face Detector","date":"2017-08-17","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/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":2,"samples_harvested":6,"samples_ran":2,"samples_unverified":4,"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."}