Keypoint & Landmark Annotation Services for AI
Precise keypoint detection for pose estimation, facial recognition, and gesture analysis. Build accurate AI models with Australia's data labeling experts.
Why Keypoint Annotation Quality Matters
Keypoint annotation is the foundation of pose estimation and landmark detection AI. Inaccurate keypoints lead to poor pose recognition, failed gesture detection, and unreliable facial analysis systems.
AI Taggers delivers enterprise-grade keypoint annotation with sub-pixel precision, enabling your computer vision systems to accurately detect and track body poses, facial features, and object landmarks.
Our Keypoint Annotation Capabilities
Human Pose Estimation
Precise keypoint annotation for body joints, skeletal structures, and pose landmarks. Essential for fitness apps, sports analytics, physical therapy monitoring, and motion capture systems.
Facial Landmark Detection
Accurate annotation of facial keypoints including eyes, nose, mouth, and facial contours. Supports facial recognition, emotion detection, and AR/VR face tracking applications.
Hand & Gesture Recognition
Detailed keypoint labeling for finger joints, palm landmarks, and hand gestures. Critical for sign language recognition, gesture control interfaces, and hand tracking systems.
Animal Pose Annotation
Specialized keypoint detection for animal body structures across species. Used in wildlife research, veterinary AI, and livestock monitoring applications.
Object Keypoint Detection
Multi-point annotation for vehicle parts, product features, and mechanical components. Enables precise object alignment and part detection in industrial applications.
Medical Landmark Annotation
Anatomical landmark detection in medical imaging for diagnostic AI, surgical planning, and treatment monitoring systems.
Australian-Led Quality Standards
Unlike offshore labeling factories, AI Taggers operates with Australian-led quality assurance at every stage.
Sub-pixel accuracy
Keypoint placement with pixel-level precision for maximum model accuracy and reliable landmark detection.
Occlusion handling
Specialized protocols for annotating partially visible or occluded keypoints with confidence scoring.
Consistent skeleton mapping
Uniform keypoint naming and connectivity across all annotations for consistent pose model training.
Multi-person annotation
Expert handling of crowded scenes with multiple subjects and overlapping keypoint structures.
Scalability Without Quality Compromise
Start with a pilot batch to validate our process, then scale to millions of keypoint annotations without quality degradation.
Keypoints annotated
Placement accuracy
Global annotation teams
Industries We Serve
Sports & Fitness
Athletic performance analysis, injury prevention, form correction, and fitness tracking applications.
Healthcare & Rehabilitation
Physical therapy monitoring, gait analysis, posture assessment, and medical diagnostics.
Gaming & AR/VR
Motion capture, avatar animation, gesture-based controls, and immersive experience development.
Security & Surveillance
Behavior recognition, anomaly detection, and person tracking in security applications.
Retail & Fashion
Virtual fitting rooms, body measurement, and personalized shopping experiences.
Automotive & Robotics
Driver monitoring, pedestrian detection, and human-robot interaction systems.
Why CTOs & ML Teams Choose AI Taggers
Precise landmark placement
Expert annotators ensure keypoints are placed exactly where your model needs them.
Configurable skeletons
Custom keypoint configurations to match your specific pose model requirements.
Visibility labeling
Clear marking of visible, occluded, and out-of-frame keypoints for robust training.
Format flexibility
Deliver in COCO keypoint, OpenPose, or your custom keypoint format.
Our Keypoint Annotation Process
Skeleton Configuration
We define your keypoint schema including point names, connectivity, and visibility rules.
Pilot Annotation
Annotate a sample batch to validate placement accuracy and refine guidelines.
Full-Scale Annotation
Trained teams execute keypoint annotation at scale with continuous quality checks.
Quality Delivery
Receive validated keypoint annotations with comprehensive accuracy metrics.
Real Results From AI Teams
"AI Taggers keypoint annotations powered our fitness app's pose correction feature. The accuracy on joint positions was exceptional."
Product Engineering Lead
Fitness Tech Company
"Their facial landmark work enabled our emotion detection AI. Consistent quality across diverse face datasets."
Computer Vision Lead
AI Research Lab
Get Started With Expert Keypoint Annotation
Whether you're building pose estimation systems, facial recognition AI, or gesture control interfaces, AI Taggers delivers the keypoint annotation quality your AI needs.
Questions about keypoint annotation?
What keypoint skeleton do you need?
How should occlusions be handled?
Do you need multi-person annotation?
What format do you require?
Our team responds within 24 hours with a tailored solution for your keypoint annotation project.