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USE CASE

Face Parsing Dataset

Dataset for detailed face segmentation for automatic identification systems
Computer Vision The ability to recognize and analyze images and videos
Segmentation The division of an image into semantically independent segments to determine object boundaries
Know your customer The process of confirming the identity of an individual for financial transactions
Facial recognition The identification of an individual based on their face
2,000
photos
4
weeks

CASE DESCRIPTION

Parsing of facial photos of individuals from social networks and open datasets

Detailed semantic segmentation of facial parts into 10 classes. We provide instance segmentation, classification of photos based on quality, and classification of individuals based on gender, age, and skin tone. Annotation is available in CVAT and Photoshop

APPLICATION AREAS OF THE DATASET

Biometric identification:

Training a face recognition system on photo segmentation with low lighting and side angles

Virtual reality:

Detailed face segmentation for training algorithms for realistic filters and masks in web applications

Beauty and cosmetics industry:

Training computer vision algorithms for detecting and analyzing individual skin characteristics to offer personalized cosmetic products

FACTORS AFFECTING THE FINAL PROJECT COST INCLUDE

Our data quality guarantee is 95%. For annotation orders requiring quality above 95%, we offer enterprise solutions

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

Vadim Bolotov
Operations manager
Sergey Razumny
TeamLead Crowd Solutions
Kristina Bugaeva
Project manager
woman

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