Annotation
Keypoint Annotation Services

Precise keypoint annotation for pose estimation and landmark detection

Expert keypoint labeling for facial landmarks, body joints, and skeletal tracking. Train robust pose estimation models with pixel-perfect accuracy for human movement analysis, gesture recognition, and biometric systems.

  • 99.9% accuracy
  • 68-point facial landmarks
  • Sub-pixel precision
TRUSTED BY
OpenAI
DeepMind
Meta AI
Microsoft
Adobe
Snap Inc

Annotation Capabilities

Comprehensive keypoint detection solutions

Professional landmark and skeletal annotation for pose estimation, facial analysis, and gesture recognition AI models

Facial Landmarks

Precise annotation of facial features including eyes, nose, mouth, and jaw. Supports 68-point, 98-point, and custom facial landmark models.

  • 68-point facial modelv
  • Eye gaze tracking
  • Expression landmarks
Body Skeletal Tracking

Full-body keypoint annotation for pose estimation and movement analysis. COCO 17-point, 25-point, and custom skeletal models supported.

  • COCO 17-point skeleton
  • Multi-person tracking
  • Occluded joint handling
Hand Keypoints

Detailed hand landmark annotation for gesture recognition and sign language detection. 21-point hand models with finger joint precision.

  • 21-point hand model
  • Finger joint tracking
  • Gesture classification
3D Pose Estimation

3D spatial keypoint annotation for depth-aware pose tracking and volumetric human reconstruction applications.

  • 3D coordinate annotation
  • Multi-view consistency
  • Depth estimation
Custom Keypoint Sets

Define and annotate custom keypoint configurations for specialized use cases like animal pose estimation or product feature marking.

  • Animal pose tracking
  • Product feature points
  • Custom taxonomies
Visibility & Occlusion Flags

Enhanced annotations with visibility markers and occlusion handling for robust model training in real-world scenarios.

  • Visibility attributes
  • Occlusion labeling
  • Confidence scoring

Our Process

How keypoint annotation works

A proven workflow ensuring pixel-perfect keypoint precision for pose estimation and landmark detection AI

STEP 1

Upload & Configure

Upload your image or video datasets and define your keypoint model (COCO, facial, hand, or custom)

STEP 2

Keypoint Placement

Expert annotators mark each keypoint with sub-pixel accuracy following your specifications

STEP 3

Visibility Tagging

Label each keypoint with visibility flags and occlusion states for robust training

STEP 4

QA & Export

Multi-layer quality verification before exporting in COCO JSON, OpenPose, or custom formats

Precision at every keypoint

Industry-leading accuracy for pose estimation and landmark detection models

20M+

Keypoints annotated

0.5px

Average precision

68+

Facial landmarks

99.8%

Visibility accuracy

Use Cases

Keypoint annotation across applications

Powering pose estimation and landmark detection in diverse AI applications worldwide

Sports Analytics

Athlete pose tracking & performance analysis

AR Filters

Face tracking for AR effects & lenses

Healthcare

Physical therapy & rehabilitation monitoring

Biometrics

Facial recognition & identity verification

Animation

Motion capture & character rigging

Fitness Apps

Exercise form tracking & coaching

Sign Language

Hand gesture recognition & translation

Security

Gait analysis & behavior detection

Ready to train your pose estimation models?

Get precise keypoint annotations for facial landmarks, skeletal tracking, and custom pose models. Sub-pixel accuracy guaranteed.

Keypoint Annotation FAQs

Common questions about our keypoint and landmark annotation services

We support all major keypoint formats including COCO 17-point skeleton, MediaPipe 33-point, OpenPose 25-point, 68-point facial landmarks, 21-point hand models, and fully custom keypoint configurations for specialized use cases.

Our expert annotators achieve sub-pixel precision with average accuracy of 0.5 pixels. Every keypoint includes visibility flags and occlusion markers. We guarantee 99.8% accuracy through multi-layer quality assurance.

Yes, our annotators are trained to handle occlusions. Each keypoint is tagged with visibility status (visible, occluded, or not visible) to help your models learn robust pose estimation even when some points are hidden.

Absolutely. We can annotate multiple people in the same image or frame, each with their complete keypoint set. Perfect for crowd analysis, sports analytics, and multi-person pose tracking applications.

We export to COCO JSON, OpenPose JSON, MediaPipe format, custom JSON schemas, and can integrate directly with your training pipeline via API. 3D keypoints include X, Y, Z coordinates plus confidence scores.

Yes, we specialize in custom keypoint models for unique use cases like animal pose estimation, product feature marking, medical anatomical landmarks, or any domain-specific point detection requirements.