Video Annotation Services

Stop paying twice- first, for automated annotation and then, for fixing its errors.

Overcome automated video annotation challenges with SunTec Data.

Client Success Story

...it’s all about results

Video Annotation Services for Drone AI Security Firm

Enhancing the client's drone surveillance system with 30% higher accuracy.

VIDEO DATA LABELING SERVICES

Automated Annotation Often Misses the Mark

We Fill the Gap with Human Expertise

AI models are only as accurate as the data they’re trained on. Yet, automated video annotation tools frequently miss critical details that can compromise your AI projects. The nuance and context that make real-world data so complex often become insurmountable challenges for fully automated annotation systems.

The consequences of AI models trained on such flawed data can be disastrous, such as:

Autonomous vehicles missing safety signs
Surveillance systems overlooking threats
Construction site monitoring systems misidentifying safety hazards

These errors not only threaten user safety but also expose your business to reputational damage and significant liability risks.

Related services

Human-Assisted Video Annotation for Better Accuracy

Outsource video annotation services to SunTec Data and get the high-fidelity training data your AI models need to function well. Hire expert annotators with subject matter expertise who dive deep into your specific AI use cases, annotation requirements, and quality standards.

100% frame coverage and less than 1% rework rate
Adaptable to your preferred video annotation tools and unique labeling conventions
Outputs delivered in your preferred formats

OUR SERVICES

Our Video Annotation Services Include

2D Bounding Box Annotation

Categorize and tag video components by drawing rectangular boxes around them.
Accurately determine the position, partial obstruction, and orientation of objects or people.

Polygon & Polyline Annotation

Trace the exact shape of objects.
Enable precise segmentation and recognition for complex and irregularly shaped items.

Keypoint/Landmark Annotation

Annotate key points on objects or people, such as facial landmarks or joint positions.
Best for tasks like facial recognition, pose estimation, and motion analysis.

Event Classification

Identifying and tagging specific events within video footage to categorize and label key actions.
Helps AI models accurately classify and differentiate between various activities.

Lines and Splines Annotation

Draw lines or curves over video components to define edges, paths, or boundaries.
Enables AI models to accurately understand shapes and trajectories.
Useful for tasks like lane detection in autonomous driving and object boundary recognition.

Event Tracking

Monitor and annotate specific events throughout video sequences, ensuring accurate tracking of positions, durations, and movements.
Useful to train AI models to effectively follow events over time and understand the context.

3D Cuboid Annotation

3D bounding boxes to represent objects in three-dimensional space.
Provides depth and spatial context, like basic object detection for autonomous driving and warehouse automation.

Skeleton Annotation

Map the skeletal structure of humans or animals by marking joints and bones.
Aids in the analysis of posture, movement, and activity recognition.

Semantic Segmentation

Pixel-level classification in video datasets for comprehensive understanding and segmentation of scenes.
Essential for applications like medical imaging and autonomous vehicles.

Oriented Bounding Boxes Annotation

Annotate objects with rotated bounding boxes that align with their orientation, providing more accurate object localization.
Works well for objects at an angle, with irregular shapes, like in aerial imagery.

Instance Segmentation

Differentiate individual objects within an image by assigning each pixel to a specific object, even within overlapping regions.
Crucial for tasks requiring precise object boundaries for detailed scene understanding, such as medical imaging.

3D Point Cloud Annotation

Three-dimensional environment mapping for 3D point clouds, typically captured by LiDAR sensors or depth cameras.
Useful for detailed environmental mapping, object recognition in autonomous driving, robotics, and augmented reality (AR).

DATA SECURITY

Data Security Should Never be an Afterthought

Don't compromise on data security while outsourcing—choose a partner who prioritizes it as much as you do. Our commitment to data protection is backed by internationally recognized certifications, including ISO/IEC 27001:2022 for information security management and ISO 9001:2015 for quality management. We comply with key regulations such as HIPAA, GDPR, CCPA, DORA, SOX, and PCI, ensuring your data remains protected at every level. As a CMMI Maturity Level 3 company, we uphold the highest standards in process and security to keep your data confidential.

THE SUNTEC DATA ADVANTAGE

Human-in-the-Loop vs. Automated Video Annotation

Don't settle for the limitations of automated video annotation. With our human-in-the-loop approach to video data labeling, you get precise training data along with the efficiency of automation. We focus on capturing the full context your AI application needs, reducing errors and ensuring reliable results. No more guesswork, no more costly mistakes.

Accuracy

Edge Cases

Scalability

Adaptability

Accuracy

Automated Video Annotation - The Regular Approach