Software profileCVAT at a glance.
A powerful, open-source tool for annotating images and videos for computer vision algorithms.
Lorezi score4.48/5
PricingFree
Free planAvailable
DeveloperCVAT.ai
Decision summary
What matters first about CVAT.
A powerful, open-source tool for annotating images and videos for computer vision algorithms.
Lorezi score4.48/5Summary score; review the four dimensions below.
PriceFree
Best forData Scientists
Think twice ifSteep learning curve for new users
Research freshnessCurrent
Last researchedAug 27, 2026
Scores summarize Lorezi's evaluation. Use the dimension breakdown and evidence to understand the trade-offs. See methodology and weighting.
Research freshness
Current
How current is this profile?
Research evidence is within Lorezi's 90-day freshness window.
Last researchedAug 27, 2026
Re-check byNov 25, 2026
Pricing
Checked
How does CVAT charge?
Lorezi independently checked this pricing on Sep 29, 2026.
Model
Free
Starting point
Free
Billing basis
Free access
Pricing checked
Sep 29, 2026
Evaluation
How CVAT performs.
Four consistent dimensions turn the headline score into a transparent product evaluation.
Editorial verdict
The decision on CVAT.
Where it fits best.
- Data Scientists
- Computer Vision Engineers
- AI Research Teams
- Machine Learning Engineers
- Autonomous Vehicle Developers
Practical jobs to consider.
- Apply Interpolation of shapes between keyframes in a real workflow
- Apply Support for bounding boxes, polygons, and polylines in a real workflow
- Apply AI-assisted automatic annotation tools in a real workflow
- Apply Attribute management for labels in a real workflow
- Work with teammates on shared projects
- Apply Video frame extraction and playback controls in a real workflow
- Apply Support for various import and export formats in a real workflow
- Connect tools and data across workflows
Trade-offs
Strengths and limitations together.
A useful software decision should show what stands out and what deserves caution in the same view.
Where CVAT stands out.
- Highly versatile annotation tool for complex video data
- Strong support for interpolation to speed up video labeling
- Robust open-source community and active development
- Flexible deployment options including self-hosting
- Advanced AI-assisted labeling capabilities
What to weigh carefully.
- Steep learning curve for new users
- Self-hosting requires significant technical expertise
- Interface can feel cluttered with advanced settings
- Documentation can be sparse for specific edge cases
What can I do with CVAT?
- Apply interpolation of shapes between keyframes with CVAT
- Apply support for bounding boxes, polygons, and polylines with CVAT
- Apply ai-assisted automatic annotation tools with CVAT
- Apply attribute management for labels with CVAT
- Collaborate on projects with other people using CVAT
- Apply video frame extraction and playback controls with CVAT
- Apply support for various import and export formats with CVAT
- Connect this capability to other tools and workflows with CVAT
Useful starting prompts.
- Create an annotation task for [traffic video] with bounding-box labels, attribute definitions and reviewer guidance.
- Workflow: Interpolate [tracked vehicle] polygons across frames, manually checking occlusion and sudden motion.
- Audit [annotated image dataset] for label consistency, skipped frames and mismatched object categories.
- Configure an image annotation task for [warehouse objects] with boxes, polygons and clear label attributes.
- Interpolate tracked objects across [video frames] and review gaps where objects become occluded.
- Create labeling instructions for [pedestrian sequence] covering overlap, truncation and class ambiguity.
- Compare [automatic preannotation] against [expert reference set] for missed objects and wrong labels.
- Design a multi-reviewer quality-control process for [segmentation project] with adjudication rules.
Expert review
Read the full CVAT review.
The long-form editorial review lives on its own page, separate from this concise software profile.
CVAT Review (2026): Features, Pricing, Pros & Cons
Read our expert CVAT review covering features, pricing, pros, cons, performance and alternatives.
Comparisons
Compare CVAT.
Use head-to-head evaluations when the useful question becomes which competing product better fits the job.
Alternatives
Explore nearby options.
These products are currently connected to CVAT as relevant alternatives in Lorezi.
4.55/5Lorezi score
Computer Vision Tool
FiftyOne
An open-source tool for building high-quality datasets and computer vision models by visualizing and curating data.
Computer Vision EngineersMachine Learning ResearchersData Scientists
AccessFree plan
DeveloperVoxel51
4.47/5Lorezi score
Data Labeling
Label Studio
An open-source data labeling tool for multi-modal data including audio, text, images, video, and time-series.
Data ScientistsMachine Learning EngineersAI Research Teams
AccessFree plan
DeveloperHeartex
4.38/5Lorezi score
Data Labeling Platform
Labelbox
An enterprise-grade training data platform for machine learning teams to annotate, manage, and improve data quality for AI models.
Data ScientistsMachine Learning EngineersAI Research Teams
AccessFree plan
DeveloperLabelbox, Inc.
Future monitoring
Keep this decision on your radar.
Save a private preference on this device for future monitoring. Lorezi is not monitoring this software or sending alerts yet.
Preview only · saved on this device · no server monitoring or alerts.
Saved only on this device. This does not activate monitoring or alerts.
For vendors
Own or represent CVAT?
Claim this profile →
Verify your relationship to request factual profile updates and access Lorezi's vendor opportunities.