Images
- Image classification
- Object detection
- Semantic & instance segmentation
- Keypoint detection
Professional Data Labeling Services for AI and Machine Learning Teams
Fast-track your AI product development with high-quality training data, labeled by the CVAT annotation experts.
We label core vision formats and beyond:
- Images
- Videos
- 3D point clouds
- Audio
Trusted by ML teams worldwide
Read customer stories- FERNRIDE
- TB Maestro
- MiR
- EPAM
- Gendo
- Purdue University
- Vivint
- Arbo Air
- Kombai
- Diligent
- UIC College of Medicine
- Tecnalia
- Vimaan
- Dragonfly AI
Why AI teams choose CVAT for labeling their data
From Fortune 500 enterprises to world-class research labs to fast-moving AI startups — we help top teams build great AI models, faster.
300+ expert annotators across 12 time zones
Ready to handle projects of any size on your schedule. And scale up easily as your labeling needs grow.
12+ years of expertise in CV & visual data
From images to video to LiDAR, we cover all major CV tasks, including classification, segmentation, tracking, and more.
Fast project kick-off & on-time delivery
We start within 1–2 days after contract signing and deliver high-quality labeled data on your timeline—even for large, complex projects.
Flexible pricing & volume-based discounts
Fixed rates for one-time projects or subscription plans for continuous annotation needs. Up to 30% off for large datasets.
Dedicated project manager
Your single point of contact from project estimation to final delivery with regular updates every step of the way.
Quality you can measure
We define measurable KPIs (like accuracy or precision) and back them with a clear statistical QA process.
Quality annotations for every vision task, ready for model training
We support a wide range of computer vision labeling tasks across image, video, and 3D datasets—delivering production-ready annotations tailored to your AI model’s needs.
Videos
- Object tracking
- Action recognition
- Event tagging
Audio
- Speech-to-text transcription
- Audio segmentation
- Audio classification & attribution
3D Point Clouds
- 3D object detection
- 3D object tracking
Expert data labeling service, straight from the source
Platform-level Expertise
We know CVAT better than anyone. That means better tooling, faster execution, real-time support and troubleshooting.
Secure, All-in-One Execution
No outsourcing layers. We handle everything — tooling, annotation, QA, and delivery — within one expert ecosystem.
Custom Workflows
Need a specific validation logic, annotation format, or workflow? We can make it happen, directly in the platform.
Direct Feedback Loop to the Dev Team
Your project feedback doesn’t get passed around. It goes straight to the product team and can influence development.
Early Access to Advanced Features
Get early access to experimental features and automation tools that others won’t see for months.
Free Access to the Platform
Thanks to CVAT’s open-source nature, after delivery, you can use the Community edition for free to maintain or grow your dataset.
Built for every team working with visual data
From aerial imagery analysis and infrastructure inspection to insurance damage assessment, thousands of ML teams trust CVAT for labeling and managing their training data.
Automotive & Mobility
Automotive manufacturers and Tier 1 suppliers use CVAT to annotate driving footage and sensor data, such as labeling lane markings and vehicles for driver assistance systems or annotating in-cabin footage for driver monitoring.
Geospatial & Remote Sensing
Geospatial analytics companies and urban planning teams use CVAT to annotate aerial imagery, such as outlining buildings, roads, and land use zones for mapping and planning applications.
Infrastructure & Utilities
Energy companies and infrastructure inspection teams use CVAT to annotate drone and camera footage, such as identifying defects on solar panels, power lines, or oil and gas pipelines.
Transportation & Logistics
Logistics companies and warehouse automation teams use CVAT to annotate imagery from robots and cameras, such as identifying packages, reading labels, or detecting obstacles on warehouse floors.
Autonomous Vehicles
AV companies, drone manufacturers, and robotics teams use CVAT to label camera and LiDAR data, such as marking cars, pedestrians, road signs, and lane boundaries to train self-driving and autonomous flight models.
Robotics
Robotics companies and research teams use CVAT to annotate imagery and sensor data, such as labeling objects a robot needs to grasp, navigate around, or interact with in real-world environments.
Military & Defense
Defense contractors and government agencies use CVAT to annotate satellite and drone imagery, such as identifying vehicles, structures, and terrain features in surveillance zones.
Manufacturing
Quality control and industrial automation teams use CVAT to annotate factory footage and imagery, such as marking surface defects on products or identifying misaligned parts on assembly lines.
Healthcare & Medical
Medical AI startups and hospital research teams use CVAT to segment anatomical structures, annotate tumors in radiology scans, label facial landmarks for diagnostic and clinical research models.
Retail & Ecommerce
Retail tech teams and ecommerce platforms use CVAT to annotate in-store and product imagery, such as labeling items on shelves or tagging visual attributes for catalog search.
Surveillance & Security
Security software companies and smart city teams use CVAT to annotate camera footage, such as marking people, vehicles, and suspicious activity across public and private spaces.
Smart Cities
City governments and urban technology companies use CVAT to annotate footage from public infrastructure, such as identifying vehicles and pedestrians at intersections or monitoring the usage of public spaces.
Agriculture
Agtech companies and research institutions use CVAT to label field and drone imagery, such as identifying diseased leaves, counting fruit, or mapping crop coverage across large areas.
Construction
Construction companies and site safety teams use CVAT to annotate drone and camera footage, such as detecting equipment, monitoring worker safety compliance, or tracking site progress over time.
Sports & Media
Sports analytics companies and broadcast technology teams use CVAT to annotate video footage, such as tracking players and balls across frames or identifying key moments in a match.
Environmental Monitoring
Environmental organizations and research teams use CVAT to annotate imagery across land, air, and water, such as tracking wildlife populations, detecting invasive species, or monitoring coral reef health.
Research & Academia
University labs and research institutions use CVAT to annotate data for a wide range of computer vision research, such as labeling microscopy images or building custom datasets for novel scientific questions.
Didn’t find your use case?
Contact us to discuss your project.
Our process
Free Pilot Project
Submit a small sample of your data for a free proof of concept. We label it using an agreed scope and guidelines, so you can review quality, turnaround time, and deliverables before committing.
Proposal and Delivery Plan
We prepare a detailed proposal based on the confirmed scope. It includes pricing, delivery schedule, batch structure, and the exact output formats you will receive.
Production Labeling
Our annotation team labels your full dataset at scale, following the approved guidelines. You get regular updates and staged deliveries based on the agreed cadence.
Quality Assurance
We run manual and automated quality checks to verify consistency and accuracy against the agreed criteria. You receive clear QA reporting with each delivery stage.
Dataset Delivery
We deliver the complete labeled dataset in the agreed format, along with a QA summary and final project notes for handoff to your ML team.
How we ensure quality
We use layered validation methods and detailed QA reports to ensure consistently accurate results.
Manual Review & Cross-Checking
Every dataset is reviewed by experts and, when needed, cross-validated by a second annotator.
Automated QA Techniques
We use Ground Truth, Honeypots, and Consensus to catch & fix frequent errors, cover edge cases, and ensure consistent quality.
Detailed QA Reports
You get full performance reports with a confusion matrix and key accuracy metrics (accuracy, precision, recall).
Secure & compliant data labeling
We take data protection seriously, from legal safeguards to technical controls.
Privacy You Can Rely On
All projects are governed by strict NDAs, and we follow GDPR and CCPA principles for data handling.
Secure Data Storage
CVAT supports integration with your own cloud storage (AWS S3, Azure Blob, or Google Cloud), so your data never has to leave your environment.
Controlled Access
Each labeling project has its own isolated workspace with role-based access available to you and your annotation team.
Flexible pricing for datasets at any stage
From one-time to long-term annotation projects with evolving datasets, we adapt to your workflow, not the other way around.
Pricing Models
- Per object
- Per image or video
- Custom
| Plan | Complete Dataset | Incomplete Dataset |
|---|---|---|
| Payment terms | Pay on completion | Pay upfront, use over time |
| Minimum budget | $5,000 | $5,000 |
Get in Touch with Our Experts
- Analyze your current project pipeline
- Identify data labeling needs and automation opportunities
- Calculate potential savings on outsourcing labeling work
Frequently Asked Questions
What is the minimum amount of data you can label?
We don’t have a strict minimum in terms of data volume. Instead, we approach each project based on its complexity, annotation type, and quality requirements.
For example, labeling 100 images with one object per frame using bounding boxes might take just a few hours. But 100 images with 10+ objects per frame, labeled with polygons or instance masks, would be significantly more time-consuming and costly. Because of this variability, we scope projects individually and provide a tailored quote after reviewing your dataset and requirements.
That said, our minimum project budget starts at $5,000. This helps ensure we can allocate the right experts, maintain quality control, and deliver results that meet our standards. If you're unsure whether your project fits, feel free to reach out — we're happy to review your data and advise.
How fast can you deliver annotated data?
Our typical turnaround time for contracted projects is approximately 1 month, though we always strive to deliver results faster when possible.
Can you handle large-scale annotation projects?
Absolutely. We maintain a team of 300+ qualified annotators that we can scale up or down based on your volume requirements. We can also adjust our resources to match your data collection and training workflow and provide continuous annotation support through our subscription service model.
Who will be labeling my data?
Your data will be handled by our in-house team of annotation specialists. Each team member has undergone comprehensive training and has experience with dozens of annotation projects, ensuring consistent, high-quality results.
How do I start a data annotation project with you?
Getting started is simple. Fill out our contact form to discuss your project requirements and timeline.
What data labeling types do you support?
We provide comprehensive annotation services for images and video, including classification, object detection, segmentation, keypoint annotation, tracking, and action recognition. Our team adapts to your specific project requirements and data formats.
Can I order a pilot project?
Yes, we encourage pilot projects. During the project evaluation stage, we offer a free proof of concept that allows us to assess your data and requirements, define the budget, demonstrate our annotation quality, and introduce you to the CVAT platform where we perform the labeling work.
