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USE CASE

Facial Hair Image Annotation

A dataset of photos of people with classification based on facial hair for AR systems
Computer Vision Ability of a machine to interpret, analyze, and understand visual data
Classification Process of recognition and grouping of objects into preset categories
Facial recognition Identification of a person's identity based on their face
AR Machine learning in augmented reality applications
2 000
photos
3 weeks
project duration

Our Partners

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CASE DESCRIPTION

Collection of selfies of people with facial hair and without it, crowdsourced. People are evenly distributed by age and ethnicity

Classification of faces based on the presence of facial hair: beard, mustache. Matte faces in Photoshop for AR solutions

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APPLICATION AREAS OF THE DATASET

AR in Social Media:

Hair segmentation and selfie matting to create masks that take into account individual facial hair

Biometric Identification:

Mustache and beard segmentation for retraining biometric identification systems

Cosmetic Industry:

Detection and semantic segmentation of facial hair for comparing appearance with and without facial hair in beauty salons

Why
Training Data

  • Quality Assurance:
  • Enhanced Data Accuracy
  • Consistency in Labels
  • Reliable Ground Truth
  • Mitigation of Annotation Biases
  • Cost and Time Efficiency
  • Data Security and Confidentiality:
  • GDPR Compliance
  • Non-disclosure agreement
  • Data Encryption
  • Multiple data storage options
  • Access Controls and Authentication
  • Expert Team:
  • 6 years in industry
  • 35 top project managers
  • 40+ languages
  • 100+ countries
  • 250k+ assessors
  • Flexible and Scalable Solutions:
  • 24/7 availability of customer service
  • 100% post payment
  • $550 minimum check
  • Variable Workload
  • Customized Solutions

Team leads project

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Sergey Razumny
TeamLead Crowd Solutions
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Arthur Kazukevich
Python-developer
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Wadim Starosotnikow
Senior quality control manager
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