Segmentation and Key Points of Human Body Dataset

Project Overview:

Objective

To establish a comprehensive dataset suitable for both human body part segmentation and precise identification of anatomical landmarks, it’s crucial to adopt a strategic approach. This groundwork is pivotal for applications like posture recognition, motion analysis, augmented reality, and medical imaging.

Scope

Collect diverse images showcasing human figures in varied environments, postures, and activities. Annotate these images for segmentation of body parts and pinpointing key anatomical landmarks.

Segmentation and Key Points of Human Body Dataset
Segmentation and Key Points of Human Body Dataset
Segmentation and Key Points of Human Body Dataset
Segmentation and Key Points of Human Body Dataset

Sources

    • Studio photographs with controlled lighting and backgrounds.
    • Sports events capturing dynamic body movements.
    • Public places: parks, malls, streets.
    • Medical imaging (where applicable and ethically sourced).
    • Performing arts: dance, theater, etc.
Segmentation and Key Points of Human Body Dataset
Segmentation and Key Points of Human Body Dataset

Data Collection Metrics

  • Total Data Points: 450,000 images
  • Studio Photographs: 100,000
  • Sports Events: 90,000
  • Public Places: 120,000
  • Medical Imaging: 40,000
  • Performing Arts: 100,000

Annotation Process

Stages

  1. Raw Data Cleaning: This phase entails excluding images with blurring, obstructions, or redundancy. By filtering out such images, we ensure that the dataset maintains high quality and relevance.
  2. Body Segmentation: Here, the objective is to demarcate distinct areas of the body, including the head, torso, limbs, hands, and feet. This segmentation facilitates subsequent analysis and annotation by providing clear boundaries for each body part.
  3. Key Point Annotation: An essential task involves identifying and marking crucial anatomical landmarks such as elbows, knees, fingertips, and other significant points. These annotations serve as reference points for various applications, including pose estimation and motion tracking.
  4. Quality Review: To guarantee the accuracy and consistency of annotations, a thorough quality review process is essential. This review involves meticulous examination of each annotation to detect and rectify any errors or inconsistencies, ensuring the reliability of the dataset.

Annotation Metrics

  • Total Segmentation Annotations: 2,250,000 (5 segments per image on average)
  • Total Key Point Annotations: 6,750,000 (15 key points per image on average)
  • Annotations Reviewed: 450,000
 
Segmentation and Key Points of Human Body Dataset
Segmentation and Key Points of Human Body Dataset
Segmentation and Key Points of Human Body Dataset
Segmentation and Key Points of Human Body Dataset

Quality Assurance

Stages

Expert Review: A panel of specialists in human anatomy and motion meticulously examined a subset of the material to ensure accuracy.
Automated Consistency Checks: Utilizing sophisticated software tools, we conducted thorough assessments to detect potential inaccuracies or missing annotations.
Inter-Annotator Agreement: Employing a collaborative approach, multiple annotators meticulously analyzed the same images to guarantee uniformity.

QA Metrics

  • Annotations Reviewed by Experts: 450,000 (10% of total annotations)
  • Inconsistencies Identified and Rectified: 45,000 (1% of total annotations)
 

Conclusion

The Segmentation and Key Points of Human Body Dataset represents a significant breakthrough in data resources, poised to drive advancements across various applications. By incorporating precise segmentation alongside essential anatomical landmarks, this dataset establishes a strong foundation for identifying and understanding human motion, form, and activity with remarkable precision.

quality dataset

Quality Data Creation

Guaranteed TAT​

Guaranteed TAT

ISO 9001:2015, ISO/IEC 27001:2013 Certified​

ISO 9001:2015, ISO/IEC 27001:2013 Certified

HIPAA Compliance​

HIPAA Compliance

GDPR Compliance​

GDPR Compliance

Compliance and Security​

Compliance and Security

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