README.md

metadata

license: cc-by-4.0
task_categories:
  - image-feature-extraction
  - image-classification
  - video-classification
language:
  - en
tags:
  - liveness detection
  - anti-spoofing
  - biometrics
  - facial recognition
  - machine learning
  - deep learning
  - AI
  - paper mask attack
  - iBeta certification
  - PAD attack
  - security
  - ibeta
  - face recognition
  - pad
  - authentication
  - fraud

Black people Face Detection Dataset: 3M+ Identities

Large human faces dataset for face recognition models (10M+ images) Share with us your feedback and recieve additional samples for free!😊 Full version of dataset is availible for commercial usage - leave a request on our website Axon Labs to purchase the dataset 💰

Dataset targeting 1:N and 1:1 NIST face recognition tests. Dataset contains 3M individuals, each with 3-5 images containing their faces The dataset is “cleaned” and has low duplicate and noise level.

Dataset Description:

• Dataset is cleaned of duplicates and non-face images
• 5M+ individuals
• Each indiviual has 3-5 face images
• Total 10M+ pictures
• Emphasis on Black peoplethnicity, while we also have other datasets targeting other ethnicities (Latin American, Asian)

Potential Use Cases:

Facial recognition: Ideal for training models to recognize individuals across varying lighting and age conditions, crucial for 1:1 verification test NIST preparation: Perfect resource for companies aiming to excel in NIST biometric tests, offering pristine data for training and testing purposes

Keywords: NIST dataset, Facial recognition dataset, Biometric testing data, Large-scale face dataset, High-quality face images, Ethnicity-diverse face dataset, AI facial recognition training data, NIST biometric test preparation, Clean face image dataset, Identity verification dataset, facial recognition training data, 1:N facial recognition dataset