{"url":"/dataset/megaface","name":"MegaFace","full_name":null,"description_markdown":"**MegaFace** was a publicly available dataset which is used for evaluating the performance of face recognition algorithms with up to a million distractors (i.e., up to a million people who are not in the test set). MegaFace contains 1M images from 690K individuals with unconstrained pose, expression, lighting, and exposure. MegaFace captures many different subjects rather than many images of a small number of subjects. The gallery set of MegaFace is collected from a subset of Flickr. The probe set of MegaFace used in the challenge consists of two databases; Facescrub and FGNet. FGNet contains 975 images of 82 individuals, each with several images spanning ages from 0 to 69. Facescrub dataset contains more than 100K face images of 530 people. The MegaFace challenge evaluates performance of face recognition algorithms by increasing the numbers of “distractors” (going from 10 to 1M) in the gallery set. In order to evaluate the face recognition algorithms fairly, MegaFace challenge has two protocols including large or small training sets. If a training set has more than 0.5M images and 20K subjects, it is considered as large. Otherwise, it is considered as small.\r\n\r\n**NOTE**: This dataset [has been retired](https://exposing.ai/megaface/). \r\n\r\nSource: [A Deep Face Identification Network Enhanced by Facial Attributes Prediction](https://arxiv.org/abs/1805.00324)","description_withheld":null,"homepage":"","introduced_date":"2016-01-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/the-megaface-benchmark-1-million-faces-for","title":"The MegaFace Benchmark: 1 Million Faces for Recognition at Scale","first_author":"Ira Kemelmacher-Shlizerman","url":null},"license":{"name":"Unknown","url":null},"modalities":[],"tasks":[{"name":"Face Verification","url":"/task/face-verification","datasets_with_task":"/datasets/task/face-verification"},{"name":"Face Identification","url":"/task/face-identification","datasets_with_task":"/datasets/task/face-identification"},{"name":"Disguised Face Verification","url":"/task/disguised-face-verification","datasets_with_task":"/datasets/task/disguised-face-verification"}],"languages":[],"variants":["MegaFace"],"data_loaders":[],"num_papers_in_archive":210,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/face-identification-on-megaface","task":"Face Identification","dataset_variant":"MegaFace","rows":13,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"Cos+UNPG","paper":"/paper/unified-negative-pair-generation-toward-well","metrics":{"Accuracy":"99.27%"},"code_links":[{"title":"tomas-gajarsky/facetorch","url":"https://github.com/tomas-gajarsky/facetorch"},{"title":"jung-jun-uk/unpg","url":"https://github.com/jung-jun-uk/unpg"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/face-verification-on-megaface","task":"Face Verification","dataset_variant":"MegaFace","rows":12,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"Prodpoly","paper":"/paper/deep-polynomial-neural-networks","metrics":{"Accuracy":"98.95%"},"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":"grigorisg9gr/polynomial_nets","url":"https://github.com/grigorisg9gr/polynomial_nets"},{"title":"Recognito-Vision/Android-FaceRecognition-FaceLivenessDetection","url":"https://github.com/Recognito-Vision/Android-FaceRecognition-FaceLivenessDetection"},{"title":"jesperhauch/polynomial_deep_learning","url":"https://github.com/jesperhauch/polynomial_deep_learning"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/disguised-face-verification-on-megaface","task":"Disguised Face Verification","dataset_variant":"MegaFace","rows":1,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"FaceNet","paper":"/paper/facenet-a-unified-embedding-for-face","metrics":{"Accuracy":"86.47"},"code_links":[{"title":"serengil/deepface","url":"https://github.com/serengil/deepface"},{"title":"davidsandberg/facenet","url":"https://github.com/davidsandberg/facenet"},{"title":"timesler/facenet-pytorch","url":"https://github.com/timesler/facenet-pytorch"},{"title":"adambielski/siamese-triplet","url":"https://github.com/adambielski/siamese-triplet"},{"title":"kuaikuaikim/DFace","url":"https://github.com/kuaikuaikim/DFace"},{"title":"kagami/go-face","url":"https://github.com/kagami/go-face"},{"title":"richmondu/libfaceid","url":"https://github.com/richmondu/libfaceid"},{"title":"Faceplugin-ltd/FaceRecognition-Android","url":"https://github.com/Faceplugin-ltd/FaceRecognition-Android"},{"title":"akshaybahadur21/Facial-Recognition-using-Facenet","url":"https://github.com/akshaybahadur21/Facial-Recognition-using-Facenet"},{"title":"tbmoon/facenet","url":"https://github.com/tbmoon/facenet"},{"title":"tamerthamoqa/facenet-pytorch-glint360k","url":"https://github.com/tamerthamoqa/facenet-pytorch-glint360k"},{"title":"FaceOnLive/Face-Recognition-SDK-Android","url":"https://github.com/FaceOnLive/Face-Recognition-SDK-Android"},{"title":"alexattia/ExtendedTinyFaces","url":"https://github.com/alexattia/ExtendedTinyFaces"},{"title":"wondonghyeon/face-classification","url":"https://github.com/wondonghyeon/face-classification"},{"title":"Atcold/torch-TripletEmbedding","url":"https://github.com/Atcold/torch-TripletEmbedding"},{"title":"arsfutura/face-recognition","url":"https://github.com/arsfutura/face-recognition"},{"title":"mohitwildbeast/Facial-Recognition-Using-FaceNet-Siamese-One-Shot-Learning","url":"https://github.com/mohitwildbeast/Facial-Recognition-Using-FaceNet-Siamese-One-Shot-Learning"},{"title":"Recognito-Vision/Android-FaceRecognition-FaceLivenessDetection","url":"https://github.com/Recognito-Vision/Android-FaceRecognition-FaceLivenessDetection"},{"title":"vinayakkailas/Face_Recognition","url":"https://github.com/vinayakkailas/Face_Recognition"},{"title":"MohamadMerchant/Voice-Authentication-and-Face-Recognition","url":"https://github.com/MohamadMerchant/Voice-Authentication-and-Face-Recognition"},{"title":"AdrianUng/keras-triplet-loss-mnist","url":"https://github.com/AdrianUng/keras-triplet-loss-mnist"},{"title":"sainimohit23/FaceNet-Real-Time-face-recognition","url":"https://github.com/sainimohit23/FaceNet-Real-Time-face-recognition"},{"title":"QuocThangNguyen/deep-metric-learning-tsinghua-dogs","url":"https://github.com/QuocThangNguyen/deep-metric-learning-tsinghua-dogs"},{"title":"jadevaibhav/Signature-verification-using-deep-learning","url":"https://github.com/jadevaibhav/Signature-verification-using-deep-learning"},{"title":"Ayoob7/facenet-face-recognition","url":"https://github.com/Ayoob7/facenet-face-recognition"},{"title":"soumik12345/Nearest-Celebrity-Face","url":"https://github.com/soumik12345/Nearest-Celebrity-Face"},{"title":"jjmachan/DeepHash","url":"https://github.com/jjmachan/DeepHash"},{"title":"BradNeuberg/personal-photos-model","url":"https://github.com/BradNeuberg/personal-photos-model"},{"title":"iitmcvg/Demo-of-face-detection-and-counting-","url":"https://github.com/iitmcvg/Demo-of-face-detection-and-counting-"},{"title":"dude123studios/SmarterRingV2","url":"https://github.com/dude123studios/SmarterRingV2"},{"title":"madhavambati/Face-Recognition","url":"https://github.com/madhavambati/Face-Recognition"},{"title":"douglas125/SpeechIdentity","url":"https://github.com/douglas125/SpeechIdentity"},{"title":"yehengchen/FaceRecognition","url":"https://github.com/yehengchen/FaceRecognition"},{"title":"chenyeheng/SmartCar","url":"https://github.com/chenyeheng/SmartCar"},{"title":"yehengchen/FaceNet-FaceRecognition","url":"https://github.com/yehengchen/FaceNet-FaceRecognition"},{"title":"yehengchen/FaceRecognition-FaceNet","url":"https://github.com/yehengchen/FaceRecognition-FaceNet"},{"title":"chenyeheng/SmartCar-FaceRecognition","url":"https://github.com/chenyeheng/SmartCar-FaceRecognition"},{"title":"yehengchen/SmartCar-FaceRecognition","url":"https://github.com/yehengchen/SmartCar-FaceRecognition"},{"title":"chenyeheng/SmartCar-FaceRec","url":"https://github.com/chenyeheng/SmartCar-FaceRec"},{"title":"parvatijay2901/FaceNet_FR","url":"https://github.com/parvatijay2901/FaceNet_FR"},{"title":"KarthikBalakrishnan11/Face_Recognition_FaceNet","url":"https://github.com/KarthikBalakrishnan11/Face_Recognition_FaceNet"},{"title":"PushpakBhoge/Face_Recognition_TF","url":"https://github.com/PushpakBhoge/Face_Recognition_TF"},{"title":"njordsir/Clustering-Faces","url":"https://github.com/njordsir/Clustering-Faces"},{"title":"bergerda1/PiFaceRecognition","url":"https://github.com/bergerda1/PiFaceRecognition"},{"title":"IcewineChen/mxnet-batch_hard_triplet_loss","url":"https://github.com/IcewineChen/mxnet-batch_hard_triplet_loss"},{"title":"FrancoisMasson1990/Siamese_Network","url":"https://github.com/FrancoisMasson1990/Siamese_Network"},{"title":"Abdelhamid-bouzid/Deep-metric-learning","url":"https://github.com/Abdelhamid-bouzid/Deep-metric-learning"},{"title":"msaadsaeed/sbnet","url":"https://github.com/msaadsaeed/sbnet"},{"title":"kaichengyan/facenet-darknet-pytorch","url":"https://github.com/kaichengyan/facenet-darknet-pytorch"},{"title":"heorhii-bolotov/facenet","url":"https://github.com/heorhii-bolotov/facenet"},{"title":"BeefMILF/facenet","url":"https://github.com/BeefMILF/facenet"},{"title":"iwasakishuto/DeepScreening","url":"https://github.com/iwasakishuto/DeepScreening"},{"title":"Mrzhang3389/FaceRecognition","url":"https://github.com/Mrzhang3389/FaceRecognition"},{"title":"CharlesPikachu/CharlesFace","url":"https://github.com/CharlesPikachu/CharlesFace"},{"title":"Ashish013/FaceNet_TF-2.0","url":"https://github.com/Ashish013/FaceNet_TF-2.0"},{"title":"jfthuong/photo-organizer","url":"https://github.com/jfthuong/photo-organizer"},{"title":"DaneyAlex5/Live-Face-Verification-Using-Deep-Learning","url":"https://github.com/DaneyAlex5/Live-Face-Verification-Using-Deep-Learning"},{"title":"ArturPrzybysz/MNIST-siamese","url":"https://github.com/ArturPrzybysz/MNIST-siamese"},{"title":"zachzhu2016/thermal-face-recognition","url":"https://github.com/zachzhu2016/thermal-face-recognition"},{"title":"zachzhu2016/Spectraface","url":"https://github.com/zachzhu2016/Spectraface"},{"title":"shi510/ffem","url":"https://github.com/shi510/ffem"},{"title":"yellowfighter2333/ticket-mechine-with-face-recognition","url":"https://github.com/yellowfighter2333/ticket-mechine-with-face-recognition"},{"title":"yellowfighter2333/ticket-machine-with-face-recognition","url":"https://github.com/yellowfighter2333/ticket-machine-with-face-recognition"},{"title":"Agrover112/SiameseNet-Search","url":"https://github.com/Agrover112/SiameseNet-Search"},{"title":"khrlimam/facenet","url":"https://github.com/khrlimam/facenet"},{"title":"agrawalparth10/Face-is-the-Key","url":"https://github.com/agrawalparth10/Face-is-the-Key"},{"title":"RobotEdh/facenet","url":"https://github.com/RobotEdh/facenet"},{"title":"DaneyAlex5/Webcam-based-Face-Recognition-using-Deep-Learning-","url":"https://github.com/DaneyAlex5/Webcam-based-Face-Recognition-using-Deep-Learning-"},{"title":"mdsarfarazulh/face-verification-facenet-mtcnn","url":"https://github.com/mdsarfarazulh/face-verification-facenet-mtcnn"},{"title":"sdamolini/LooksLikeWho","url":"https://github.com/sdamolini/LooksLikeWho"},{"title":"Natty07/Deep_Learning","url":"https://github.com/Natty07/Deep_Learning"},{"title":"asmadotgh/unc-net","url":"https://github.com/asmadotgh/unc-net"},{"title":"phongdinhv/triplet-loss-keras-mnist","url":"https://github.com/phongdinhv/triplet-loss-keras-mnist"},{"title":"LinRiver/Realtime_facedetection","url":"https://github.com/LinRiver/Realtime_facedetection"},{"title":"TejasGode/One-Shot-Learning-for-Face-Recognition","url":"https://github.com/TejasGode/One-Shot-Learning-for-Face-Recognition"},{"title":"Sarthaks21/Facenet-with-MTCNN-and-SVM","url":"https://github.com/Sarthaks21/Facenet-with-MTCNN-and-SVM"},{"title":"BZstat/Attendance-AI","url":"https://github.com/BZstat/Attendance-AI"},{"title":"SamarpanDas/Face-Recognition-Face-Verification","url":"https://github.com/SamarpanDas/Face-Recognition-Face-Verification"},{"title":"reneang17/authorencoder","url":"https://github.com/reneang17/authorencoder"},{"title":"humbleOldSage/Triplet-Loss-for-Personal-dataset","url":"https://github.com/humbleOldSage/Triplet-Loss-for-Personal-dataset"},{"title":"sudhanshu2k/Signature-Verification","url":"https://github.com/sudhanshu2k/Signature-Verification"},{"title":"jooyounghun/AI-Team-5","url":"https://github.com/jooyounghun/AI-Team-5"},{"title":"rupaai/60DaysOfUdacity","url":"https://github.com/rupaai/60DaysOfUdacity"},{"title":"letthedataconfess/Keras-triplet-loss-mnist","url":"https://github.com/letthedataconfess/Keras-triplet-loss-mnist"},{"title":"fpleoni/its_all_in_the_family","url":"https://github.com/fpleoni/its_all_in_the_family"},{"title":"Hamiltonsjtu/based_on_facenet","url":"https://github.com/Hamiltonsjtu/based_on_facenet"},{"title":"rmwkwok/product_visual_search","url":"https://github.com/rmwkwok/product_visual_search"},{"title":"hslrock/TripletLoss_Pytorch","url":"https://github.com/hslrock/TripletLoss_Pytorch"},{"title":"sebastiaopamplona/msc-thesis-deepfsim","url":"https://github.com/sebastiaopamplona/msc-thesis-deepfsim"},{"title":"Mrnoorsingh/QRCode-and-Face-Recognition-for-Access-Control","url":"https://github.com/Mrnoorsingh/QRCode-and-Face-Recognition-for-Access-Control"},{"title":"Fugu-Lin/facenet_pytorch","url":"https://github.com/Fugu-Lin/facenet_pytorch"},{"title":"krantirk/Face-detection-and-counting-","url":"https://github.com/krantirk/Face-detection-and-counting-"},{"title":"Jagannathrk2020/Face-detection-and-counting-","url":"https://github.com/Jagannathrk2020/Face-detection-and-counting-"},{"title":"18alantom/identify","url":"https://github.com/18alantom/identify"},{"title":"altndrr/persona","url":"https://github.com/altndrr/persona"},{"title":"JoseLGP/FaceRecognition","url":"https://github.com/JoseLGP/FaceRecognition"},{"title":"dvndra/face_recognition","url":"https://github.com/dvndra/face_recognition"},{"title":"notecola/facenet-light","url":"https://github.com/notecola/facenet-light"},{"title":"hakaneroztekin/face-recognition","url":"https://github.com/hakaneroztekin/face-recognition"},{"title":"TowardHumanizedInteraction/TripletFace","url":"https://github.com/TowardHumanizedInteraction/TripletFace"},{"title":"18alantom/smel_project","url":"https://github.com/18alantom/smel_project"},{"title":"cindyloo/rockstar-ai","url":"https://github.com/cindyloo/rockstar-ai"},{"title":"jonathandrnd/Face-Recognition","url":"https://github.com/jonathandrnd/Face-Recognition"},{"title":"Ander02/FaceRecognition","url":"https://github.com/Ander02/FaceRecognition"},{"title":"moron96/FaceRecogLDAP","url":"https://github.com/moron96/FaceRecogLDAP"},{"title":"aporw/Class-Attendance-Tool--Face-Recognition","url":"https://github.com/aporw/Class-Attendance-Tool--Face-Recognition"},{"title":"levindaniil/FaceNet_FaceRecognition","url":"https://github.com/levindaniil/FaceNet_FaceRecognition"},{"title":"eewindfly/facenet","url":"https://github.com/eewindfly/facenet"},{"title":"bruceeeee/facenet","url":"https://github.com/bruceeeee/facenet"},{"title":"gary-kaitung/data-science-portfolio","url":"https://github.com/gary-kaitung/data-science-portfolio"},{"title":"mayureshpatil30/test-image","url":"https://github.com/mayureshpatil30/test-image"},{"title":"LKLQQ/FaceNet","url":"https://github.com/LKLQQ/FaceNet"},{"title":"gengler1123/Triplet_Loss_Demo","url":"https://github.com/gengler1123/Triplet_Loss_Demo"},{"title":"qbxlvnf11/face-detection-MTCNN","url":"https://github.com/qbxlvnf11/face-detection-MTCNN"},{"title":"aobaruwa/TensorFlow-Projects","url":"https://github.com/aobaruwa/TensorFlow-Projects"},{"title":"mindslab-mwc5697/facenet_upload","url":"https://github.com/mindslab-mwc5697/facenet_upload"},{"title":"Denver-Pinto/FaceRecognitionAndroid","url":"https://github.com/Denver-Pinto/FaceRecognitionAndroid"},{"title":"quangson05dt1/keras_facenet_ver1","url":"https://github.com/quangson05dt1/keras_facenet_ver1"},{"title":"srilakshmiv14/FaceNet_Pytorch","url":"https://github.com/srilakshmiv14/FaceNet_Pytorch"},{"title":"mszpc/facenet_ascend","url":"https://github.com/mszpc/facenet_ascend"},{"title":"suyash0612/face_recognitionandverification","url":"https://github.com/suyash0612/face_recognitionandverification"},{"title":"vincenthanna/facenet_on_mnist","url":"https://github.com/vincenthanna/facenet_on_mnist"},{"title":"saiamrit/Facenet-pytorch","url":"https://github.com/saiamrit/Facenet-pytorch"},{"title":"kooBH/facenet_verification","url":"https://github.com/kooBH/facenet_verification"},{"title":"Mind23-2/MindCode-70","url":"https://github.com/Mind23-2/MindCode-70"},{"title":"AswillHatter/Union","url":"https://github.com/AswillHatter/Union"},{"title":"code-kage/facenet_mini","url":"https://github.com/code-kage/facenet_mini"},{"title":"akshayraghavan21/Face_Recognition_Using_Facenet","url":"https://github.com/akshayraghavan21/Face_Recognition_Using_Facenet"},{"title":"Unturned3/mtcnn","url":"https://github.com/Unturned3/mtcnn"},{"title":"zafartakekh/finddrop","url":"https://github.com/zafartakekh/finddrop"},{"title":"abuchin/face_recognition","url":"https://github.com/abuchin/face_recognition"},{"title":"Surya9787/suryaprakash","url":"https://github.com/Surya9787/suryaprakash"},{"title":"mahathi26/ciss","url":"https://github.com/mahathi26/ciss"},{"title":"Porechniy13/FaceReco","url":"https://github.com/Porechniy13/FaceReco"},{"title":"petermankowski510/facenet_test","url":"https://github.com/petermankowski510/facenet_test"},{"title":"richaagrawa/Facial-Recognition-System","url":"https://github.com/richaagrawa/Facial-Recognition-System"},{"title":"bethelhall/smart-attendance-system","url":"https://github.com/bethelhall/smart-attendance-system"},{"title":"tuyentv2009/Face-Recognition-","url":"https://github.com/tuyentv2009/Face-Recognition-"},{"title":"KSolves-ML/Face-Reco-Flask","url":"https://github.com/KSolves-ML/Face-Reco-Flask"},{"title":"EvgenyDyshlyuk/DeepLearning_face_detection_embeddings_clustering","url":"https://github.com/EvgenyDyshlyuk/DeepLearning_face_detection_embeddings_clustering"},{"title":"EvgenyDyshlyuk/Face_detection_embeddings_clustering","url":"https://github.com/EvgenyDyshlyuk/Face_detection_embeddings_clustering"},{"title":"Satyake/Triplet-Loss_Siamese_NN","url":"https://github.com/Satyake/Triplet-Loss_Siamese_NN"},{"title":"anuj-anuj/face-similarity","url":"https://github.com/anuj-anuj/face-similarity"},{"title":"roysai/Humpback-whale-identity-challenge","url":"https://github.com/roysai/Humpback-whale-identity-challenge"},{"title":"MindSpore-paper-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are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/ghostfacenets-lightweight-face-recognition","title":"GhostFaceNets: Lightweight Face Recognition Model From Cheap Operations","date":"2023-04-10","rows_on_this_dataset":2,"code_links":7,"syntology":null},{"paper":"/paper/unified-negative-pair-generation-toward-well","title":"Unified Negative Pair Generation toward Well-discriminative Feature Space for Face Recognition","date":"2022-03-22","rows_on_this_dataset":3,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":14,"samples_ran":2,"samples_unverified":12,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/elasticface-elastic-margin-loss-for-deep-face","title":"ElasticFace: Elastic Margin Loss for Deep Face 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