{"id":14617,"url":"https://github.com/coderonion/awesome-face-detection-and-recognition","name":"awesome-face-detection-and-recognition","description":"A collection of some awesome public face detection and recognition projects.","projects_count":55,"last_synced_at":"2026-10-06T17:00:21.748Z","repository":{"id":41325645,"uuid":"509143573","full_name":"coderonion/awesome-face-detection-and-recognition","owner":"coderonion","description":"A collection of some awesome public face detection and recognition projects.","archived":false,"fork":false,"pushed_at":"2024-02-22T12:28:13.000Z","size":10,"stargazers_count":9,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"main","last_synced_at":"2026-10-04T09:35:00.998Z","etag":null,"topics":["face","face-detection","face-recognition"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/coderonion.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null}},"created_at":"2022-06-30T15:54:46.000Z","updated_at":"2026-03-30T04:51:18.000Z","dependencies_parsed_at":"2024-03-05T18:12:19.392Z","dependency_job_id":null,"html_url":"https://github.com/coderonion/awesome-face-detection-and-recognition","commit_stats":null,"previous_names":["codingonion/awesome-face-detection-and-recognition","coderonion/awesome-face-detection-and-recognition"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/coderonion/awesome-face-detection-and-recognition","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/coderonion%2Fawesome-face-detection-and-recognition","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/coderonion%2Fawesome-face-detection-and-recognition/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/coderonion%2Fawesome-face-detection-and-recognition/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/coderonion%2Fawesome-face-detection-and-recognition/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/coderonion","download_url":"https://codeload.github.com/coderonion/awesome-face-detection-and-recognition/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/coderonion%2Fawesome-face-detection-and-recognition/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":343170754,"owners_count":38093707,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-10-03T21:59:58.778Z","status":"online","status_checked_at":"2026-10-06T02:00:06.537Z","response_time":86,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"created_at":"2024-01-12T20:23:57.428Z","updated_at":"2026-10-06T17:00:21.749Z","primary_language":null,"list_of_lists":false,"displayable":true,"categories":["Datasets","Summary","Face Detection","Face Recognition"],"sub_categories":[],"readme":"# Awesome-Face-Detection-and-Recognition\r\n[![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)\r\n\r\n🔥🔥🔥 This repository lists some awesome face detection and recognition projects.\r\n\r\n## Contents\r\n- [Awesome-Face-Detection-and-Recognition](#awesome-face-detection-and-recognition)\r\n    - [Summary](#summary)\r\n    - [Face Detection](#face-detection)\r\n    - [Face Recognition](#face-recognition)\r\n    - [Datasets](#datasets)\r\n      - [Face Detection Datasets](#face-detection-datasets)\r\n      - [Face Recognition Datasets](#face-recognition-datasets)\r\n\r\n## Summary\r\n\r\n  - [ChanChiChoi/awesome-Face_Recognition](https://github.com/ChanChiChoi/awesome-Face_Recognition) \u003cimg src=\"https://img.shields.io/github/stars/ChanChiChoi/awesome-Face_Recognition?style=social\"/\u003e : papers about Face Detection; Face Alignment; Face Recognition \u0026\u0026 Face Identification \u0026\u0026 Face Verification \u0026\u0026 Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution \u0026\u0026 Face Deblurring; Face Generation \u0026\u0026 Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval. \r\n\r\n  - [becauseofAI/awesome-face](https://github.com/becauseofAI/awesome-face) \u003cimg src=\"https://img.shields.io/github/stars/becauseofAI/awesome-face?style=social\"/\u003e : An awesome face technology repository. \r\n\r\n  - [ageitgey/face_recognition](https://github.com/ageitgey/face_recognition) \u003cimg src=\"https://img.shields.io/github/stars/ageitgey/face_recognition?style=social\"/\u003e : The world's simplest facial recognition api for Python and the command line. \r\n\r\n  - [takuya-takeuchi/FaceRecognitionDotNet](https://github.com/takuya-takeuchi/FaceRecognitionDotNet) \u003cimg src=\"https://img.shields.io/github/stars/takuya-takeuchi/FaceRecognitionDotNet?style=social\"/\u003e : The world's simplest facial recognition api for .NET on Windows, MacOS and Linux. \r\n\r\n  - [polarisZhao/awesome-face](https://github.com/polarisZhao/awesome-face) \u003cimg src=\"https://img.shields.io/github/stars/polarisZhao/awesome-face?style=social\"/\u003e : 😎 face releated algorithm, dataset and paper. \r\n\r\n  - [clpeng/Awesome-Face-Forgery-Generation-and-Detectione](https://github.com/clpeng/Awesome-Face-Forgery-Generation-and-Detectione) \u003cimg src=\"https://img.shields.io/github/stars/clpeng/Awesome-Face-Forgery-Generation-and-Detectione?style=social\"/\u003e : A curated list of articles and codes related to face forgery generation and detection.\r\n\r\n\r\n\r\n## Face Detection\r\n\r\n  - Viola-Jones : \"Robust Real-Time Face Detection\". (**[IJCV 2004](https://link.springer.com/article/10.1023/B:VISI.0000013087.49260.fb)**)\r\n\r\n  - [MTCNN](https://github.com/kpzhang93/MTCNN_face_detection_alignment) \u003cimg src=\"https://img.shields.io/github/stars/kpzhang93/MTCNN_face_detection_alignment?style=social\"/\u003e : \"Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks\". (**[IEEE signal processing letters, 2016](https://ieeexplore.ieee.org/abstract/document/7553523/)**)\r\n\r\n  - [FaceBoxes](https://github.com/sfzhang15/FaceBoxes) \u003cimg src=\"https://img.shields.io/github/stars/sfzhang15/FaceBoxes?style=social\"/\u003e : \"FaceBoxes: A CPU real-time face detector with high accuracy\". (**[IJCB, 2017](https://ieeexplore.ieee.org/abstract/document/8272675)**)\r\n\r\n  - [DSFD](https://github.com/Tencent/FaceDetection-DSFD) \u003cimg src=\"https://img.shields.io/github/stars/biubug6/Pytorch_Retinaface?style=social\"/\u003e : \"DSFD: Dual Shot Face Detector\". (**[CVPR 2019](https://openaccess.thecvf.com/content_CVPR_2019/html/Li_DSFD_Dual_Shot_Face_Detector_CVPR_2019_paper.html)**)\r\n\r\n  - [RetinaFace](https://github.com/biubug6/Pytorch_Retinaface) \u003cimg src=\"https://img.shields.io/github/stars/biubug6/Pytorch_Retinaface?style=social\"/\u003e : \"RetinaFace: Single-Shot Multi-Level Face Localisation in the Wild\". (**[CVPR 2020](https://openaccess.thecvf.com/content_CVPR_2020/html/Deng_RetinaFace_Single-Shot_Multi-Level_Face_Localisation_in_the_Wild_CVPR_2020_paper.html)**)\r\n\r\n  - [hukkelas/DSFD-Pytorch-Inference](https://github.com/hukkelas/DSFD-Pytorch-Inference) \u003cimg src=\"https://img.shields.io/github/stars/hukkelas/DSFD-Pytorch-Inference?style=social\"/\u003e : State of the Art Face Detection in Pytorch with DSFD and RetinaFace.\r\n\r\n  - [SCRFD](https://github.com/deepinsight/insightface/tree/master/detection/scrfd) \u003cimg src=\"https://img.shields.io/github/stars/deepinsight/insightface?style=social\"/\u003e : \"Sample and Computation Redistribution for Efficient Face Detection\". (**[arXiv 2021](https://arxiv.org/abs/2105.04714)**)\r\n\r\n  - [YOLO5Face](https://github.com/deepcam-cn/yolov5-face) \u003cimg src=\"https://img.shields.io/github/stars/deepcam-cn/yolov5-face?style=social\"/\u003e : \"YOLO5Face: Why Reinventing a Face Detector\". (**[arXiv 2021](https://arxiv.org/abs/2105.12931)**)\r\n\r\n  - [YOLO-FaceV2](https://github.com/Krasjet-Yu/YOLO-FaceV2) \u003cimg src=\"https://img.shields.io/github/stars/Krasjet-Yu/YOLO-FaceV2?style=social\"/\u003e : \"YOLO-FaceV2: A Scale and Occlusion Aware Face Detector \". (**[arXiv 2022](https://arxiv.org/abs/2208.02019)**). \"微信公众号「江大白」《[超越Yolo5-Face，Yolo-Facev2开源，各类Trick优化，值得学习！](https://mp.weixin.qq.com/s?__biz=Mzg5NzgyNTU2Mg==\u0026mid=2247498561\u0026idx=1\u0026sn=b7ff0592644ab6bc5b716e07294e1c0a\u0026source=41#wechat_redirect)》\"\r\n\r\n  - [OAID/TengineKit](https://github.com/OAID/TengineKit) \u003cimg src=\"https://img.shields.io/github/stars/OAID/TengineKit?style=social\"/\u003e : TengineKit - Free, Fast, Easy, Real-Time Face Detection \u0026 Face Landmarks \u0026 Face Attributes \u0026 Hand Detection \u0026 Hand Landmarks \u0026 Body Detection \u0026 Body Landmarks \u0026 Iris Landmarks \u0026 Yolov5 SDK On Mobile. \r\n\r\n  - [xialuxi/yolov5_face_landmark](https://github.com/xialuxi/yolov5_face_landmark) \u003cimg src=\"https://img.shields.io/github/stars/xialuxi/yolov5_face_landmark?style=social\"/\u003e : 基于yolov5的人脸检测，带关键点检测。\r\n\r\n  - [sthanhng/yoloface](https://github.com/sthanhng/yoloface) \u003cimg src=\"https://img.shields.io/github/stars/sthanhng/yoloface?style=social\"/\u003e : Deep learning-based Face detection using the YOLOv3 algorithm. \r\n\r\n  - [DayBreak-u/yolo-face-with-landmark](https://github.com/DayBreak-u/yolo-face-with-landmark) \u003cimg src=\"https://img.shields.io/github/stars/DayBreak-u/yolo-face-with-landmark?style=social\"/\u003e : yoloface大礼包 使用pytroch实现的基于yolov3的轻量级人脸检测（包含关键点）。\r\n\r\n  - [abars/YoloKerasFaceDetection](https://github.com/abars/YoloKerasFaceDetection) \u003cimg src=\"https://img.shields.io/github/stars/abars/YoloKerasFaceDetection?style=social\"/\u003e : Face Detection and Gender and Age Classification using Keras.\r\n\r\n  - [dannyblueliu/YOLO-Face-detection](https://github.com/dannyblueliu/YOLO-Face-detection) \u003cimg src=\"https://img.shields.io/github/stars/dannyblueliu/YOLO-Face-detection?style=social\"/\u003e : Face detection based on YOLO darknet.\r\n\r\n  - [wmylxmj/YOLO-V3-IOU](https://github.com/wmylxmj/YOLO-V3-IOU) \u003cimg src=\"https://img.shields.io/github/stars/wmylxmj/YOLO-V3-IOU?style=social\"/\u003e : YOLO3 动漫人脸检测 (Based on keras and tensorflow) 2019-1-19.\r\n\r\n  - [pranoyr/head-detection-using-yolo](https://github.com/pranoyr/head-detection-using-yolo) \u003cimg src=\"https://img.shields.io/github/stars/pranoyr/head-detection-using-yolo?style=social\"/\u003e : Detection of head using YOLO.\r\n\r\n  - [grapeot/AnimeHeadDetector](https://github.com/grapeot/AnimeHeadDetector) \u003cimg src=\"https://img.shields.io/github/stars/grapeot/AnimeHeadDetector?style=social\"/\u003e : An object detector for character heads in animes, based on Yolo V3.\r\n\r\n  - [Chenyang-ZHU/YOLOv3-Based-Face-Detection-Tracking](https://github.com/Chenyang-ZHU/YOLOv3-Based-Face-Detection-Tracking) \u003cimg src=\"https://img.shields.io/github/stars/Chenyang-ZHU/YOLOv3-Based-Face-Detection-Tracking?style=social\"/\u003e : This is a robot project for television live. System will tracking the host's face, making the face in the middle of the screen.\r\n\r\n  - [zdfb/Yolov5_face](https://github.com/zdfb/Yolov5_face) \u003cimg src=\"https://img.shields.io/github/stars/zdfb/Yolov5_face?style=social\"/\u003e : 基于pytorch的Yolov5人脸检测。\r\n\r\n  - [derronqi/yolov7-face](https://github.com/derronqi/yolov7-face) \u003cimg src=\"https://img.shields.io/github/stars/derronqi/yolov7-face?style=social\"/\u003e : yolov7 face detection with landmark.\r\n\r\n\r\n## Face Recognition\r\n\r\n  - [DeepFace] : \"DeepFace: Closing the Gap to Human-Level Performance in Face Verification\". (**[CVPR 2014](https://openaccess.thecvf.com/content_cvpr_2014/html/Taigman_DeepFace_Closing_the_2014_CVPR_paper.html)**)\r\n\r\n  - [DeepID2]: \"FaceNet: A Unified Embedding for Face Recognition and Clustering\". (**[NIPS 2014](https://proceedings.neurips.cc/paper/2014/hash/e5e63da79fcd2bebbd7cb8bf1c1d0274-Abstract.html)**)\r\n\r\n  - [VGGFace](https://www.robots.ox.ac.uk/~vgg/software/vgg_face/): \"Deep Face Recognition\". (**[British Machine Vision Conference, 2015](https://www.robots.ox.ac.uk/~vgg/publications/2015/Parkhi15)**)\r\n\r\n  - [FaceNet](https://github.com/davidsandberg/facenet) \u003cimg src=\"https://img.shields.io/github/stars/davidsandberg/facenet?style=social\"/\u003e : \"Deep learning face representation by joint identification-verification\". (**[CVPR 2015](https://www.cv-foundation.org/openaccess/content_cvpr_2015/html/Schroff_FaceNet_A_Unified_2015_CVPR_paper.html)**)\r\n\r\n  - [CosFace]: \"CosFace: Large Margin Cosine Loss for Deep Face Recognition\". (**[CVPR 2018](https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_CosFace_Large_Margin_CVPR_2018_paper.html)**)\r\n\r\n  - [MobileFaceNets]: \"MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices\". (**[CCBR 2018](https://link.springer.com/chapter/10.1007/978-3-319-97909-0_46)**)\r\n  \r\n  - [ArcFace](https://github.com/deepinsight/insightface) \u003cimg src=\"https://img.shields.io/github/stars/deepinsight/insightface?style=social\"/\u003e : State-of-the-art 2D and 3D Face Analysis Project. \"Arcface: Additive angular margin loss for deep face recognition\". (**[CVPR 2019](https://openaccess.thecvf.com/content_CVPR_2019/html/Deng_ArcFace_Additive_Angular_Margin_Loss_for_Deep_Face_Recognition_CVPR_2019_paper.html)**).\r\n\r\n  - [SphereFace](https://github.com/wy1iu/sphereface) \u003cimg src=\"https://img.shields.io/github/stars/wy1iu/sphereface?style=social\"/\u003e : \"SphereFace: Deep Hypersphere Embedding for Face Recognition\". (**[CVPR 2017](https://openaccess.thecvf.com/content_cvpr_2017/html/Liu_SphereFace_Deep_Hypersphere_CVPR_2017_paper.html)**).\r\n\r\n  - [OpenSphere](https://github.com/ydwen/opensphere) \u003cimg src=\"https://img.shields.io/github/stars/ydwen/opensphere?style=social\"/\u003e : OpenSphere is a hyperspherical face recognition library based on PyTorch. \"SphereFace: Deep Hypersphere Embedding for Face Recognition\". (**[CVPR 2017](https://openaccess.thecvf.com/content_cvpr_2017/html/Liu_SphereFace_Deep_Hypersphere_CVPR_2017_paper.html)**). \"SphereFace2: Binary Classification is All You Need for Deep Face Recognition\". (**[ICLR 2022](https://wyliu.com/papers/sphereface2_ICLR22.pdf)**). \"SphereFace Revived: Unifying Hyperspherical Face Recognition\". (**[TPAMI 2022](https://wyliu.com/papers/spherefacer_v3_TPAMI.pdf)**). \r\n\r\n  - [ViewFaceCore/ViewFaceCore](https://github.com/ViewFaceCore/ViewFaceCore) \u003cimg src=\"https://img.shields.io/github/stars/ViewFaceCore/ViewFaceCore?style=social\"/\u003e : C# 超简单的离线人脸识别库。( 基于 SeetaFace6 ) \r\n\r\n  - [serengil/deepface](https://github.com/serengil/deepface) \u003cimg src=\"https://img.shields.io/github/stars/serengil/deepface?style=social\"/\u003e : A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python.\r\n\r\n  - [ZhaoJ9014/face.evoLVe](https://github.com/ZhaoJ9014/face.evoLVe) \u003cimg src=\"https://img.shields.io/github/stars/ZhaoJ9014/face.evoLVe?style=social\"/\u003e : 🔥🔥High-Performance Face Recognition Library on PaddlePaddle \u0026 PyTorch🔥🔥.\r\n\r\n  - [hpc203/10kinds-light-face-detector-align-recognition](https://github.com/hpc203/10kinds-light-face-detector-align-recognition) \u003cimg src=\"https://img.shields.io/github/stars/hpc203/10kinds-light-face-detector-align-recognition?style=social\"/\u003e : 10种轻量级人脸检测算法的比拼，其中还包含人脸关键点检测与对齐，人脸特征向量提取和计算距离相似度。\r\n\r\n  - [coneypo/Dlib_face_recognition_from_camera](https://github.com/coneypo/Dlib_face_recognition_from_camera) \u003cimg src=\"https://img.shields.io/github/stars/coneypo/Dlib_face_recognition_from_camera?style=social\"/\u003e : Detect and recognize the faces from camera / 调用摄像头进行人脸识别，支持多张人脸同时识别。\r\n\r\n  - [zhouyuchong/face-recognition-deepstream](https://github.com/zhouyuchong/face-recognition-deepstream) \u003cimg src=\"https://img.shields.io/github/stars/zhouyuchong/face-recognition-deepstream?style=social\"/\u003e : Deepstream app use YOLO, retinaface and arcface for face recognition. \r\n\r\n  - [ColinFred/yolov5_arcface_face_recognition](https://github.com/ColinFred/yolov5_arcface_face_recognition) \u003cimg src=\"https://img.shields.io/github/stars/ColinFred/yolov5_arcface_face_recognition?style=social\"/\u003e : 利用Yolov5做人脸检测，框出识别到的人脸，用 ArcFace 做人脸识别。 (**[Yolov5 + ArcFace 人脸识别](https://blog.csdn.net/windowsyun/article/details/123607549)**)\r\n\r\n  - [mesutpiskin/face-detection-and-recognition](https://github.com/mesutpiskin/face-detection-and-recognition) \u003cimg src=\"https://img.shields.io/github/stars/mesutpiskin/face-detection-and-recognition?style=social\"/\u003e : C# Face detection and recognition with EmguCV. Eigenfaces, Fisherfaces and LBPH algorithms.\r\n\r\n\r\n## Datasets\r\n\r\n  - ### Face Detection Datasets\r\n\r\n    - [WIDER FACE](http://shuoyang1213.me/WIDERFACE/) : \"WIDER FACE: A Face Detection Benchmark\". (**[CVPR 2016](https://openaccess.thecvf.com/content_cvpr_2016/html/Yang_WIDER_FACE_A_CVPR_2016_paper.html)**)\r\n\r\n    - [UFDD](https://ufdd.info/) : Unconstrained Face Detection Dataset(UFDD). \"Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results\". (**[IEEE BTAS 2018](https://ieeexplore.ieee.org/abstract/document/8698561l)**)\r\n\r\n\r\n  - ### Face Recognition Datasets\r\n\r\n    - [LFW](http://vis-www.cs.umass.edu/lfw/) : Labeled Faces in the Wild(LFW). \"Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments\". (**[Workshop on faces in'Real-Life'Images: detection, alignment, and recognition. 2008](https://hal.inria.fr/inria-00321923/)**)\r\n\r\n    - [YouTube Faces (YTF)](http://www.cs.tau.ac.il/~wolf/ytfaces/) : \"Face recognition in unconstrained videos with matched background similarity\". (**[CVPR 2011](https://ieeexplore.ieee.org/abstract/document/5995566)**)\r\n\r\n    - [CASIA-WebFace](https://pan.baidu.com/s/1k3Cel2wSHQxHO9NkNi3rkg) : \"Learning Face Representation from Scratch\". (**[arXiv 2014](https://arxiv.org/abs/1411.7923)**)\r\n\r\n    - [IJB-A](https://www.nist.gov/programs-projects/face-challenges) : \"Pushing the Frontiers of Unconstrained Face Detection and Recognition: IARPA Janus Benchmark A\". (**[CVPR 2015](https://www.cv-foundation.org/openaccess/content_cvpr_2015/html/Klare_Pushing_the_Frontiers_2015_CVPR_paper.html)**)\r\n\r\n    - [MS-Celeb-1M](https://academictorrents.com/details/9e67eb7cc23c9417f39778a8e06cca5e26196a97/tech\u0026hit=1\u0026filelist=1) : \"MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition\". (**[ECCV 2016](https://link.springer.com/chapter/10.1007/978-3-319-46487-9_6)**)\r\n\r\n    - [MegaFace](http://megaface.cs.washington.edu/) : \"The MegaFace Benchmark: 1 Million Faces for Recognition at Scale\". (**[CVPR 2016](https://openaccess.thecvf.com/content_cvpr_2016/html/Kemelmacher-Shlizerman_The_MegaFace_Benchmark_CVPR_2016_paper.html)**)\r\n\r\n    - [UMDFaces](https://www.umdfaces.io/) : \"UMDFaces: An annotated face dataset for training deep networks\". (**[IJCB 2017](https://ieeexplore.ieee.org/abstract/document/8272731)**)\r\n\r\n    - [IJB-B](https://www.nist.gov/programs-projects/face-challenges) : \"IARPA Janus Benchmark-B Face Dataset\". (**[CVPR 2017](https://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/html/Whitelam_IARPA_Janus_Benchmark-B_CVPR_2017_paper.html)**)\r\n\r\n    - [IJB-C](https://www.nist.gov/programs-projects/face-challenges) : \"IARPA Janus Benchmark - C: Face Dataset and Protocol\". (**[ICB 2018](https://ieeexplore.ieee.org/abstract/document/8411217)**)\r\n\r\n    - [VGGFace2]() : \"VGGFace2: A Dataset for Recognising Faces across Pose and Age\". (**[FG 2018](https://ieeexplore.ieee.org/abstract/document/8373813)**)\r\n","projects_url":"https://awesome.ecosyste.ms/api/v1/lists/coderonion%2Fawesome-face-detection-and-recognition/projects"}