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Datasets and Services for Training LLM
Image Annotation
Video Annotation
Text Annotation
Lidar Annotation
Crowdsourcing
MedTech Companies
Banking and Finance Industry
Biometric Data
E-commerce and Retail
Surveys and UX-Researches
Agriculture
Retail
Robotics
Augmented Reality
Finance
E-Commerce
Face Recognition System
Ore Annotation
Content Moderation on the Video
IBeta 1
IBeta 2
Data Collection for Face and Speech Recognition
Content Moderation
Video Systems and Video Analysis
Content Moderation in Recruitment Domain
Audio Labeling for Call Center
Data collection and video annotation: weapon detection on the streets
Image Annotation for Emotion Recognition
Data Сollection for Сity Administration
Liveness Detection
Annotation Photos for the Recognition System
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Stages of Work
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FAQ
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
DIDN'T FIND THE NECESSARY INFORMATION?
Leave a request for a free consultation and a test dataset!
Why
Training Data
- Quality Assurance:
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Enhanced Data Accuracy
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Consistency in Labels
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Reliable Ground Truth
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Mitigation of Annotation Biases
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Cost and Time Efficiency
- Data Security and Confidentiality:
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GDPR Compliance
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Non-disclosure agreement
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Data Encryption
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Multiple data storage options
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Access Controls and Authentication
- Expert Team:
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6 years in industry
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35 top project managers
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40+ languages
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100+ countries
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250k+ assessors
- Flexible and Scalable Solutions:
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24/7 availability of customer service
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100% post payment
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$550 minimum check
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Variable Workload
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Customized Solutions
Team leads project
Sergey Razumny
TeamLead Crowd Solutions
Arthur Kazukevich
Python-developer
Wadim Starosotnikow
Senior quality control manager
