Blog
Labeling Guides
Guides, comparisons and field notes on data annotation for computer vision and audio AI.

Four Ways to Automate Your Labeling Process in CVAT
Explore four ways to automate your data labeling with CVAT: Nuclio, third-party models, CLI scripts, and AI agents—each built for different teams and workflows.

Why is it Essential to Keep CVAT Updated?
Learn the importance of keeping CVAT updated. Best practices for maintenance and version management.

CVAT.AI: Exporting Annotations from CVAT to YOLOv8 Format on Windows
Learn to export CVAT annotations to YOLOv8 format. Step-by-step guide for seamless integration with YOLOv8 object detection models.

CVAT.ai Annotation Actions: Perform Bulk Actions on Filtered Shapes
Master CVAT.ai's bulk annotation features. Learn how to efficiently manage and modify multiple annotations for increased productivity.

Tips on how to annotate overlapping objects with CVAT
Master techniques for annotating overlapping objects in CVAT. Learn professional approaches for complex scenarios.

Simultaneous Annotation in CVAT.ai: How to Distribute Dataset Among Several Annotators?
Master simultaneous annotation in CVAT.ai. Learn strategies for efficient team collaboration and workflow management.

Optimize Your Data Annotation and Analysis Workflow with CVAT.ai and Voxel51 integration
Enhance your workflow with CVAT and Voxel51 integration. Learn data management and analysis optimization techniques.

An Introduction to Automated Data Annotation with CVAT CLI
Master CVAT's CLI for automated data annotation. Learn essential command-line tools and techniques for efficient batch processing workflows.

How to Ensure Quality in Image Annotation with CVAT.ai
Learn quality assurance best practices for image annotation. Master techniques for consistent and accurate labeling.

Improve Annotation Speed and Accuracy with Layers in CVAT.ai
Master CVAT's layer system for faster annotation. Learn techniques for efficient workflow organization.

Quality control of Image annotation in CVAT
Master quality control for image annotation in CVAT. Learn verification methods and best practices for accuracy.

CVAT SDK PyTorch adapter: using CVAT datasets in your ML pipeline
Learn to use CVAT's SDK with PyTorch. Complete tutorial for integrating CVAT datasets into your ML pipeline.

Using CVAT SDK
Comprehensive guide to CVAT's Software Development Kit. Learn to integrate CVAT features into your applications.

Annotating Smarter: Interpolation and Polygons in Practice
Learn how to speed up data annotation using interpolation mode and polygon tools in CVAT. Boost efficiency and accuracy with these two practical techniques.

Using CVAT CLI
Master CVAT's command-line interface. Learn essential commands for efficient annotation management.

Using CVAT API
Complete guide to using CVAT's API. Learn to automate workflows and integrate CVAT with your applications.

How to automatically detect objects with YOLO in CVAT
Learn to use YOLO models for automated annotation in CVAT. Master pre-trained model integration for efficient object detection and labeling.

CVAT <> FiftyOne: Data-Centric Machine Learning with Two Open Source Tools
Optimize your ML workflow with CVAT and FiftyOne integration. Learn data-centric approaches to machine learning development.