Exposing.ai: IARPA Janus Benchmark C
https://exposing.ai/datasets/ijb_cIARPA Janus Benchmark C (IJB-C) is a dataset of video still-frames and photos used for face recognition benchmarking. The dataset was published in 2017 and contains 21,294 total images. Exposing.ai located 5,757 original photos from Flickr used to build IJB-C and made this information searchable through this site's database search engine.
bob.db.ijbc · PyPI
https://pypi.org/project/bob.db.ijbc02.10.2020 · The IJB-C database is a mixture of frontal and non-frontal images and videos (provided as single frames) from 1845 different identities. In many of the images and video frames, there are several people visible, but only the ones that are annotated with a bounding box should be taken into consideration.
IJB-C Dataset | Papers With Code
https://paperswithcode.com/dataset/ijb-cIJB-C (IARPA Janus Benchmark-C) The IJB-C dataset is a video-based face recognition dataset. It is an extension of the IJB-A dataset with about 138,000 face images, 11,000 face videos, and 10,000 non-face images. Source: Pushing the Limits of Unconstrained Face Detection:a Challenge Dataset and Baseline Results.
[总结] 人脸识别领域相关数据集 - 知乎
https://zhuanlan.zhihu.com/p/87334060IJB-A 全称为 IARPA Janus Benchmark-A face challenge, 由 NIST (National Institute of Standards and Technology)所提出,该竞赛所提供的数据集包含 500 个对象的 5712 张静态人脸图像和 2085 个人脸视频帧。 State Of The Art (Face Verification): Dual-Agent GANs for Photorealistic and Identity Preserving Profile Face Synthesis, 2017 NIPS