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Datasets/IJB-B

IJB-B

IARPA Janus Benchmark-B

ImagesVideosCustomIntroduced 2017-01-01

The IJB-B dataset is a template-based face dataset that contains 1845 subjects with 11,754 images, 55,025 frames and 7,011 videos where a template consists of a varying number of still images and video frames from different sources. These images and videos are collected from the Internet and are totally unconstrained, with large variations in pose, illumination, image quality etc. In addition, the dataset comes with protocols for 1-to-1 template-based face verification, 1-to-N template-based open-set face identification, and 1-to-N open-set video face identification.

Source: An Automatic System for Unconstrained Video-Based Face Recognition Image Source: https://www.vislab.ucr.edu/Biometrics2017/program_slides/Noblis_CVPRW_IJBB.pdf

Benchmarks

3D/Rank-13D/Rank-53D/TAR @ FAR=0.00013D/TAR @ FAR=1e-33D/TAR @ FAR=1e-43D/TAR @ FAR=1e-53D/TAR @ FAR=0.013D/MFLOPs3D/MParams3D/TAR @ FAR=0.0013D/TAR@FAR=0.00013D/Accuracy3D Face Modelling/Rank-13D Face Modelling/Rank-53D Face Modelling/TAR @ FAR=0.00013D Face Modelling/TAR @ FAR=1e-33D Face Modelling/TAR @ FAR=1e-43D Face Modelling/TAR @ FAR=1e-53D Face Modelling/TAR @ FAR=0.013D Face Modelling/MFLOPs3D Face Modelling/MParams3D Face Modelling/TAR @ FAR=0.0013D Face Modelling/TAR@FAR=0.00013D Face Modelling/Accuracy3D Face Reconstruction/Rank-13D Face Reconstruction/Rank-53D Face Reconstruction/TAR @ FAR=0.00013D Face Reconstruction/TAR @ FAR=1e-33D Face Reconstruction/TAR @ FAR=1e-43D Face Reconstruction/TAR @ FAR=1e-53D Face Reconstruction/TAR @ FAR=0.013D Face Reconstruction/MFLOPs3D Face Reconstruction/MParams3D Face Reconstruction/TAR @ FAR=0.0013D Face Reconstruction/TAR@FAR=0.00013D Face Reconstruction/AccuracyFace Recognition/Rank-1Face Recognition/Rank-5Face Recognition/TAR @ FAR=0.0001Face Recognition/TAR @ FAR=1e-3Face Recognition/TAR @ FAR=1e-4Face Recognition/TAR @ FAR=1e-5Face Recognition/TAR @ FAR=0.01Face Recognition/MFLOPsFace Recognition/MParamsFace Reconstruction/Rank-1Face Reconstruction/Rank-5Face Reconstruction/TAR @ FAR=0.0001Face Reconstruction/TAR @ FAR=1e-3Face Reconstruction/TAR @ FAR=1e-4Face Reconstruction/TAR @ FAR=1e-5Face Reconstruction/TAR @ FAR=0.01Face Reconstruction/MFLOPsFace Reconstruction/MParamsFace Reconstruction/TAR @ FAR=0.001Face Reconstruction/TAR@FAR=0.0001Face Reconstruction/AccuracyFace Verification/TAR @ FAR=0.01Face Verification/TAR @ FAR=0.001Face Verification/TAR@FAR=0.0001Face Verification/TAR @ FAR=1e-5Face Verification/TAR @ FAR=0.0001Facial Recognition and Modelling/Rank-1Facial Recognition and Modelling/Rank-5Facial Recognition and Modelling/TAR @ FAR=0.0001Facial Recognition and Modelling/TAR @ FAR=1e-3Facial Recognition and Modelling/TAR @ FAR=1e-4Facial Recognition and Modelling/TAR @ FAR=1e-5Facial Recognition and Modelling/TAR @ FAR=0.01Facial Recognition and Modelling/MFLOPsFacial Recognition and Modelling/MParamsFacial Recognition and Modelling/TAR @ FAR=0.001Facial Recognition and Modelling/TAR@FAR=0.0001Facial Recognition and Modelling/AccuracyQuantization/TAR @ FAR=1e-4

Statistics

Papers
163
Benchmarks
75

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Tasks

3D3D Face Modelling3D Face ReconstructionFace IdentificationFace RecognitionFace ReconstructionFace VerificationFacial Recognition and ModellingLightweight Face RecognitionQuantization