CVAT labels your data. Picsellia takes it to production.
CVAT is a solid open-source annotation tool. Picsellia covers the full computer vision lifecycle: dataset management, annotation, training, deployment and monitoring, in one platform built and supported in Europe.
An annotation tool vs a computer vision platform
CVAT covers one stage of the pipeline. Once your models leave the notebook, you need other tools for dataset versioning, training, experiment tracking, deployment and monitoring, plus someone to connect and maintain them. Picsellia runs every stage in one system, with lineage from raw image to production prediction.
Why teams move from CVAT to Picsellia
Structure that scales
Datalake, versioned datasets and projects, instead of a pile of tasks and exports. You always know which data trained which model.
Team management built in
Labeling campaigns, roles, review flows and quality metrics for internal teams and external labelers.
The full cycle in one place
Data, annotation, training, deployment and monitoring share the same lineage. No scripts gluing five tools together.
Training without new infrastructure
Run experiments on managed GPUs or your own, track metrics and artifacts, and register models with their versions.
Monitoring after deployment
Drift and anomaly detection on production predictions, feeding back into your datasets for retraining.
European, and supported
ISO 27001:2022 certified, EU hosting or full on-premise, and a team of solution engineers who know computer vision, not a community forum.
Annotation and labeling
Data management
Training and experimentation
Deployment and monitoring
Enterprise
Stay on CVAT if…
Migrating from CVAT
Picsellia imports CVAT XML and CVAT for video projects directly, as well as COCO, YOLO and Pascal VOC. Your images, labels and annotations come over as they are, and our team can run the migration with you.
They run computer vision in production on Picsellia
Common questions
What is the main difference between Picsellia and CVAT?
CVAT is an open-source annotation tool. Picsellia is a computer vision platform that covers annotation, plus dataset management, training, deployment and production monitoring, with lineage across every stage.
Is Picsellia a good CVAT alternative?
Yes, for teams taking computer vision to production. You keep everything you use CVAT for (annotation types, AI-assisted labeling, review) and add the stages CVAT doesn't cover, with no extra tools to connect.
Can I migrate my projects from CVAT to Picsellia?
Yes. Picsellia imports CVAT XML and CVAT for video exports directly, along with COCO, YOLO and Pascal VOC. Labels and annotations are preserved, and our team can support the migration.
Isn't CVAT cheaper because it's open source?
The license is free, but running it isn't. Self-hosting CVAT means engineering time for hosting, upgrades and security. You also pay separately for versioning, tracking, deployment and monitoring tools, and for the time spent connecting them.
Can Picsellia be self-hosted like CVAT?
Yes. Picsellia runs on-premise on Kubernetes or Docker, including air-gapped environments, or in EU-hosted cloud. Unlike a community install, it's deployed and supported by our team.
Is Picsellia suitable for regulated industries?
Yes. Picsellia is ISO 27001:2022 certified and offers EU hosting or full on-premise deployment, with full data lineage across the lifecycle.
Ready to go beyond labeling?
See how teams move from CVAT to a platform that takes their models to production.