Computer Vision Data Annotation Services

Our Team brings hands-on experience from leading AI firms worldwide

AI Expertise

Cloud Tech

Robotics

Global Reach

Data-Driven

Why Choose UniWorkAI for Data Annotation

Our specialized team delivers accurate, scalable annotation services with industry-leading quality control.

Domain Expertise

Our annotators are trained in specific verticals like medical imaging, autonomous vehicles, and retail analytics.

Quality Assurance

Multi-stage review process ensures >99% accuracy with customized quality metrics for your project.

Scalable Solutions

From small POCs to millions of images, our elastic workforce scales to meet your needs.

Our Computer Vision Annotation Services

Comprehensive annotation solutions tailored for your ML model requirements.

Bounding Boxes

2D/3D Bounding Boxes

Precise object localization with rectangular bounding boxes for object detection models.

Multi-class labeling
Occlusion handling
Attribute tagging

Semantic Segmentation

Pixel-level labeling for scene understanding and detailed object recognition.

Fine-grained categorization
Boundary precision
Multi-layer masks

Keypoint Annotation

Accurate landmark detection for pose estimation and facial recognition models.

Custom skeleton definition
Visibility tagging
Connective relationships

Polygon Annotation

Precise object outlining with custom polygons for irregular shapes.

Complex shape handling
Instance segmentation
High-precision requirements

Video Annotation

Frame-by-frame labeling with object tracking and temporal consistency.

Interpolation tools
Motion analysis
Event detection

LiDAR Annotation

LiDAR & 3D Point Cloud

Annotation of 3D point clouds for autonomous vehicles and depth perception.

Sensor fusion
Volumetric measurements
3D cuboid annotation

Industry Applications

Our annotation services power AI solutions across multiple industries

Autonomous Vehicles

Object detection, lane marking, traffic sign recognition, and pedestrian tracking for self-driving cars.

Healthcare & Medical Imaging

Tumor detection, organ segmentation, and abnormality classification from X-rays, MRIs, and CT scans.

Retail & E-Commerce

Product recognition, shelf monitoring, visual search, and customer behavior analysis.

Aerial Imagery & Drones

Land use classification, infrastructure inspection, agricultural monitoring, and disaster assessment.

Manufacturing & Industrial

Defect detection, quality control, robotic guidance, and predictive maintenance systems.

Surveillance & Security

Person recognition, suspicious activity detection, license plate reading, and crowd monitoring.

Our Quality Assurance Process

Ensuring the highest accuracy and consistency in every annotation

1

Expert Annotation

Domain-specialized annotators with rigorous training create initial labels following your guidelines.

2

Peer Review

Every annotation undergoes verification by a second trained annotator for consistency checks.

3

QA Automation

Custom scripts validate label formats, attribute completeness, and detect potential outliers.

4

Expert Validation

Senior annotators sample and audit annotations, focusing on complex edge cases.

5

Client Review

Deliver milestone batches for your team to review with comprehensive reporting.

6

Continuous Feedback

Iterative improvements based on your model performance metrics and evolving needs.

What Our Clients Say

Success stories from organizations we've partnered with

"UniWorkAI's semantic segmentation annotations helped improve our medical imaging model accuracy by 15%. Their domain expertise in healthcare was evident throughout the project."

Dr. James H.

Chief AI Officer, MedScan Analytics

"The scalability of UniWorkAI's annotation team allowed us to label 50,000 retail product images in just 4 weeks with 99.3% accuracy—a game changer for our visual search feature."

Sarah M.

Director of AI, ShopRight

"Their LiDAR annotation for our autonomous driving system was incredibly precise. UniWorkAI became true partners, helping us refine the taxonomy as our needs evolved."

David R.

VP Engineering, AutoVision Tech

Frequently Asked Questions

Get answers to common questions about our computer vision annotation services

Still have questions? We're happy to help.

Contact our team