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Your AI annotation platform, hosted in France

🔒 VPS only

The computer vision annotation suite powered by CVAT, installed and maintained by DINAO. Your images, videos, and datasets stay on our French servers — AI-assisted annotation, on a sovereign infrastructure.

Hosted in FranceGDPR CompliantAI-Assisted AnnotationTeam CollaborationCommunity image
Overview

What is CVAT?

CVAT (Computer Vision Annotation Tool) is an open-source web platform for annotating images, videos, and 3D point clouds, designed to produce training datasets for computer vision. It covers all annotation types — bounding boxes, polygons, polylines, segmentation masks, keypoints/skeletons, cuboids, ellipses, tags — and handles tracking and interpolation for video.

Designed for teams, CVAT provides project and task management, quality control (ground-truth, confusion matrix), analytics, role management (RBAC), as well as AI-assisted annotation via models like SAM/SAM 2, YOLO, or Mask R-CNN. Export covers over 20 standard formats (COCO, YOLO, Pascal VOC…).

Technically, CVAT is built on Django and React, with PostgreSQL and Redis, deployed as a multi-container Docker stack. Auto-annotation relies on Nuclio serverless, and an NVIDIA GPU is recommended for the heaviest models. A REST API, Python SDK, and CLI complete the suite.

Compatible offers

Host CVAT at DINAO

Resource tiers compatible with CVAT prerequisites (minimum 2 vCPU / 4 Go / 20 Go). Hosted in France, fully managed.

Application available on a dedicated VPS

This application requires privileged access to the host machine, incompatible with managed shared hosting. It is installed on a dedicated VPS server where you keep full control — managed by DINAO.

Technical reason: montage du socket Docker (contrôle total de l'hôte).

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This application uses AI

The container hosts the application, not the AI engine (which requires dedicated GPUs) : inference is handled externally, with your own provider key. Prioritize a sovereign engine — Mistral AI, NumSpot, Scaleway, or OVHcloud AI Endpoints (France, GDPR) ; an international provider (OpenAI, Anthropic…) only if a specific capability requires it. Inference subscriptions are not included in hosting.

Under the hood

Technical details

vCPU
2 vCPU
ideal : 4 à 8 vCPU
Memory
4 Go
ideal : 16 Go
Disk
20 Go
ideal : 100 Go et plus (selon le volume de médias annotés)
Image : cvat/server (backend) + cvat/ui (frontend) Registry : docker.io (Docker Hub, organisation cvat-ai/cvat) Services : cvat_db (postgres:15-alpine), cvat_redis_inmem (redis:7.2.11-alpine), cvat_redis_ondisk (apache/kvrocks:2.15.0), cvat_opa (openpolicyagent/opa:1.12.2), cvat_server (cvat/server), cvat_ui (cvat/ui), traefik (traefik:v3.6) Ports : 8080 (Traefik / accès web CVAT), 8090 (Traefik dashboard, optionnel)
FAQ

You might be wondering…

What is CVAT used for?

CVAT is a computer vision annotation suite. You annotate images, videos, and 3D point clouds to produce the training datasets required for AI detection, segmentation, or classification models.

Does AI-assisted annotation run on your servers or an external cloud?

In the self-hosted edition, auto-annotation models (SAM, YOLO…) run locally within your DINAO instance, without calling any external cloud service. Your images never leave the server — see the sovereignty note below.

What export formats are supported?

Over 20 standard formats : COCO, YOLO, Pascal VOC, and many others. You retrieve your datasets in the format expected by your training framework, via the interface, API, or Python SDK.

Do I need a GPU?

Manual annotation works without a GPU. For auto-annotation by large models (especially SAM), an NVIDIA GPU is strongly recommended : it is available as an option (Team AI plan) or dedicated (Production plan).

Can I change plans or export my data?

Yes. You can upgrade or downgrade at any time, and your datasets remain exportable in standard formats — no proprietary lock-in.