Audio Transcription
Datasets and Services for Training LLM
Image Annotation 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
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
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
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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
Sergey Razumny
TeamLead Crowd Solutions
Arthur Kazukevich
Python-developer
Wadim Starosotnikow
Senior quality control manager