Audio Transcription
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
Blog
Stages of Work
Become a Partner
Startup Program
Student Program
FAQ
USE CASE
Pose Estimation Photo Labeling
Skeletal annotation involves detecting, associating, and tracking semantic keypoints. The dataset effectively solves the tasks of motion capture and recognition of human poses
Data Labeling
Highlighting objects in photos to train systems to recognize and interpret them
Body Recognition
Detection and recognition the shape and pose of a human body on the image
Keypoint Detection
Process of identifying important poionts within an object on the image
Computer Vision
Ability of a machine to interpret, analyze, and understand visual data
Sports Medicine
Technologies that aid in preventing sports injuries and analyses training processes
2 000
images
2 weeks
project duration
18
annotation attributes
Our Partners
WE OFFER DATA LABELING SERVICES FOR YOUR DATA
DATA COLLECTION FOR THIS PROJECT IS NOT PROVIDED
TECHNICAL SPECIFICATIONS
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Full-length photos of people are collected using parsing from open sources
Each person is annotated with a Bounding-Box and 18 key points
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Each image from the PE folder is accompanied by an XML annotation in the file annotations.xml specifying the coordinates of the key points
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The coordinates (x, y) and the “Assumed location” are marked for each point
APPLICATION AREAS OF THE DATASET
Healthcare:
Classification and computer vision for posture analysis to aid in physical therapy, monitor patients' progress, and detect abnormalities in body posture
Retail and fashion:
Computer vision for virtual try-on applications, personalized clothing recommendations, and sizing predictions based on body measurements
Gaming and entertainment:
Computer vision for motion capture in virtual reality games, character animation, and interactive experiences that respond to users' body movements
Fitness and sports:
Computer vision to analyze and improve athletic performance, track body movements during exercises, and provide real-time feedback on form and technique
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
Wadim Starosotnikow
Senior quality control manager
Arthur Kazukevich
Python-developer
Maria Kuzmina
Project manager
