Data Annotation Platform for Vision AI

Manual & automated annotation

Create accurate labels with a full set of annotation tools for any object shape and vision task, all in one workspace. Speed up your pipeline further by connecting pre-trained or custom models for auto-labeling directly through the API and SDK.

Draw bounding boxes, polygons, keypoints, and more

Cover classification, detection, segmentation, and tracking

Automate labeling with pre-trained or custom models

Manage all annotation types in one workspace

Project management & collaboration

Organize large-scale annotation projects with a structured hierarchy that splits datasets automatically and keeps every contributor focused on their work. Flexible role controls and full audit trails ensure your team stays aligned at any size.

Split large datasets across annotation jobs automatically

Track per-job progress in real time

Assign organization and project-level roles

Control permissions with full audit trails

Built-in quality control

Catch bad labels before they reach your model with multi-stage validation and configurable quality thresholds. Built-in reports give you full visibility into annotation accuracy across your dataset.

Validate labels with configurable quality thresholds

Detect errors before they reach your model

Analyze accuracy with built-in confusion matrix reports

Configure multi-stage review workflows

Analytics & reporting

Track annotation progress, team performance, and time spent across every project and job. Spot bottlenecks early and make data-driven decisions about your labeling pipeline.

Monitor progress across all projects and jobs

Measure team performance and time spent

Spot bottlenecks before they slow you down

Make data-driven decisions about your pipeline

Flexible export & integration

Export labeled data to 20+ formats that fit your training environment, from COCO and YOLO to KITTI and Cityscapes. Connect cloud storage, task trackers, and your full ML pipeline through a powerful API and SDK.

Export to COCO, YOLO, Pascal VOC, and 20+ more

Support any ML framework out of the box

Connect cloud storage and external tools

Access projects and datasets via API/SDK

SECURITY & COMPLIANCE

Enterprise-grade security

CVAT is built with security and compliance at every layer, so your team can annotate with confidence, whether you're in healthcare, defense, or enterprise.

GDPR, CCPA, and HIPAA compliant

Encryption in transit and at rest

Role-based access control and SSO

Access logging and audit trails

On-premises and air-gapped deployment

Explore CVAT Enterprise

Automotive & ADAS

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.

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.