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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

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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

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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

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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Wadim Starosotnikow
Senior quality control manager
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Arthur Kazukevich
Python-developer
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Maria Kuzmina
Project manager
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