Omkar2118/datasets huggingface dataset:
MS-Celeb-1M

The **MS-Celeb-1M** dataset is a large-scale face recognition dataset consists of 100K identities, and each identity has about 100 facial images. The original identity labels are obtained automatically from webpages.

**NOTE**: This dataset [is currently inactive](https://exposing.ai/msceleb/). 

Source: [Learning to Cluster Faces on an Affinity Graph](https://arxiv.org/abs/1904.02749)
Image Source: [MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition](https://arxiv.org/abs/1607.08221)

Introducing paper: MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition
UCI Machine Learning Repository

**UCI Machine Learning Repository** is a collection of over 550 datasets.

Introducing paper: Endgame Analysis of Dou Shou Qi
VGGFace2
Full name: Vggface2: A dataset for recognising faces  across pose and age

VGGFace2 is a large-scale face recognition dataset. Images are downloaded from Google Image Search and have large variations in pose, age, illumination, ethnicity and profession. VGGFace2 contains images from identities spanning a wide range of different ethnicities, accents, professions and ages. All face images are captured "in the wild", with pose and emotion variations and different lighting and occlusion conditions. Face distribution for different identities is varied, from 87 to 843, with an average of 362 images for each subject.

Introducing paper: VGGFace2: A dataset for recognising faces across pose and age