Reliable Data Annotation Services
Built on Strong, Trustworthy Partnerships
From Image Annotation to Video Annotation, we deliver scalable, high-quality datasets for computer vision and machine learning. Ready to support your next project.
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Our Services
Explore our services, find the right solution for your training needs, and partner with us to bring your AI models to life
01. IMAGE ANNOTATIONS
Outsourcing data annotation to a dedicated provider like Smart Annotahub saves computer vision teams time while ensuring high-quality, consistent results. Our human annotators carefully locate, outline, and label objects across many types of images. To meet even the most demanding project requirements, Smart Annotahub employs a large team of skilled annotators who deliver precise, reliable datasets
02. VIDEO ANNOTATIONS
We work with a wide range of media to create precise, human-annotated training datasets. Our video annotation expertise enables us to deliver custom machine learning datasets tailored to your project’s needs
03. 3D POINT CLOUD ANNOTATIONS
Smart Annotahub provides professional data annotation for autonomous vehicle development with high-quality 3D point cloud annotation. Our experienced in-house teams ensure that your self-driving AI projects run smoothly
04. DATASET VALIDATION
Improve the accuracy of your existing models with our validation services. We verify and correct your algorithm’s outputs – including bounding boxes, polygons, instance segmentation, semantic segmentation, and more. High-quality training data is essential for strong computer vision performance
05. DATA COLLECTION
At Smart Annotahub, we are conscientious about collecting data from reputable and legal sources.
We exclusively use open source data to ensure the highest quality and transparency for our clients.
Diverse Data Types for Annotation
1. 3D POINT CLOUD
Enhance your models with high-quality 3D annotations. Our team supports ADAS, construction monitoring, and more through expert LiDAR and point cloud labeling for precise spatial understanding and object recognition
2. BOUNDING BOX
Our most common method: fast and effective bounding boxes to identify target objects. Drawing rectangular boxes around objects in an image or video to mark their location and size for computer vision tasks like object detection
3. ORIENTED BOUNDING BOX
A more accurate method for marking objects compared to the bounding box method, especially for those that aren’t aligned to horizontal or vertical axes, ensuring precise orientation and high-quality datasets
4. CUBOID
This method adds depth, width, and height to three-dimensional objects in images using 3D bounding boxes (cuboids), creating a more detailed and accurate understanding of the scene
5. SEMANTIC SEGMENTATION
Separates image pixels into classes for highly accurate annotation. Objects are precisely outlined, and both foreground elements and backgrounds are carefully labeled
6. INSTANCE SEGMENTATION
Enhances training data by labeling each object instance separately and capturing its unique properties. Every occurrence receives its own label and highlight for greater accuracy
7. POLYGON
Used for outlining complex shapes, this method connects small line segments to capture precise object boundaries – ideal for detailed data in medical & health care, agriculture, waste management
8. LANE
This method traces lines across an image to identify roads, railway tracks, pipelines, and other linear structures. It’s often used in logistics and autonomous driving
9. KEYPOINTS
This detailed method is often used for face features. Annotators place individual points on areas like the eyes, nose, and lips to mark their exact position and shape
10. SKELETAL
Commonly used to recognize people, this method uses lines to mark body parts and their positions. Skeletal annotation helps AI understand movement, shape, and posture
11. MIXED
We can combine multiple annotation methods to create datasets tailored to your specific computer vision needs. Since AI models vary widely, we stay flexible and deliver clean, reliable data for any application
Workflow
Our Annotation Services Workflow
Sign NDA
Ensure your information stays confidential
Analyze Requirements
Hearing and clarifying requirements
Pilot and Estimation
Using your sample dataset to demonstrate our capabilities and validate our approach. Present estimation
Setup & Communication
Establishing clear communication protocols and a shared timeline, utilizing consistent tracking systems throughout the entire project
Agreement
Finalizing the Service Level Agreement (SLA) and contract terms based on your feedback of pilot dataset
Team Assemble & Training
Assemble the right team for each project and train them under experienced leaders to ensure full alignment on guidelines and quality expectations
Kick-off Project
Our annotation team executes the project per the agreed plan, closely tracking progress and KPIs of each annotation specialist
Quality Assurance & Delivery
All annotated datasets undergo at least a 3-stage quality assurance before delivery. We conduct feedback to gather insights, ensuring continuous service improvement
Find what works best for you
Smart Annotahub delivers affordable, high-quality data tailored to a wide range of industries.
We provide expert data labeling for:
MANUFACTURING
From industrial automation to assembly line control, quality assurance, damage detection, and more
AUTOMOTIVE
From manufacturing to autonomous vehicle training, including 3D point clouds
AGRICULTURE
From ripeness monitoring to crop management, pollination control, and other applications
RETAIL
From monitoring shopping habits to product placement, habit assessment, and much more
CONSTRUCTION
From predictive maintenance to safety, corrosion detection, infrastructure development, and more
LOGISTICS
From delivery tracking to warehousing, robotic deliveries, predictive maintenance, automated distribution, and more
MEDICAL & HEALTH CARE
From healthcare applications to surgical data, hospital operations, and much more
SPORT
From performance tracking to advertisement monitoring, injury prevention, and more
WASTE MANAGEMENT
From sorting to processing, logistics, automation, and other applications
Experienced Tools and Technologies
Our Advantages
Work with us to build a powerful data pipeline that fuels your machine learning and computer vision applications.
Trusted by global tech leaders for our skilled teams, flexible pricing models, and enterprise-grade quality
SCALABLE
Get fast results with high throughput and on-demand scalability. Whether you need 10,000 annotations or 100,000+, we handle projects of any size and scale effortlessly as your labeling needs grow
COST EFFECTIVE
Leverage competitive labor costs and flexible pricing models to meet diverse requirements with options for fixed rates on one-time projects or subscription plans. Our services outperform most data annotation providers in value, with discounts of up to 20% for large datasets
SUPERIOR QUALITY
We define measurable KPIs, such as accuracy and precision, and support them with a clear statistical QA process. 3 layers of human quality verification ensure remarkable results. This ensures consistent, high-quality output and helps you achieve your project goals efficiently
IN-HOUSE TEAM
Smart Annotahub delivers high-quality image and video datasets precisely tailored to your requirements. We assemble dedicated, multi-tiered teams led by experienced specialists, ensuring efficient management, scalability, and adaptability
SECURE
We safeguard your data through strict confidentiality protocols. All data is collected from reputable, legally compliant sources, and any data we create or annotate is high-quality and ready for use in your AI models