Supervisely Computer Vision Platform
Data labeling software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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€199 per month
Free TrialFree version
Small
Medium
Large
- Media and communications
- Manufacturing
- Transportation and logistics
What is Supervisely Computer Vision Platform
Supervisely Computer Vision Platform is a computer vision data labeling and dataset management platform used to create, review, and organize annotations for images and videos. It targets ML and CV teams that need tooling for annotation workflows, quality control, and dataset versioning across projects. The platform combines web-based labeling tools with APIs/SDKs and supports deployment options that can fit both cloud and self-hosted environments. It also includes utilities for data exploration and model-assisted labeling to accelerate iterative dataset development.
Broad CV annotation tooling
Supervisely supports common computer vision annotation types such as bounding boxes, polygons, masks/segmentation, keypoints, and video annotation workflows. It provides project structures and labeling interfaces designed for both single annotators and teams. This breadth reduces the need to stitch together separate tools for different CV tasks. It is well-suited to teams managing multiple dataset formats and annotation modalities.
APIs and automation hooks
The platform offers programmatic access (APIs/SDKs) to import/export data, manage projects, and integrate labeling into ML pipelines. This helps teams standardize dataset operations and reduce manual steps when moving data between storage, labeling, and training. Automation support is particularly useful for recurring labeling jobs and continuous dataset updates. It aligns with engineering-led workflows where reproducibility and integration matter.
Workflow and review features
Supervisely includes collaboration features such as task assignment, review/QA flows, and project-level organization. These capabilities help teams control annotation consistency and track progress across contributors. Compared with lighter-weight labeling tools, it better fits structured production workflows. It can support internal teams and managed annotation operations when process control is required.
Learning curve for teams
Because it combines labeling, dataset management, and automation capabilities, initial setup and onboarding can take time. Teams may need to define conventions for projects, classes, and review processes to get consistent results. Users without ML operations experience can find advanced features harder to adopt. This can slow time-to-value for small or ad hoc labeling efforts.
Compute and hosting overhead
When deployed in self-hosted environments, organizations must manage infrastructure, storage, and upgrades. This adds operational overhead compared with fully managed labeling services. Performance and cost depend on how the deployment is sized for large images, videos, and concurrent annotators. IT/security involvement is often required for enterprise rollouts.
Services and workforce not core
The product is primarily a software platform rather than a large-scale managed labeling workforce. Organizations that need end-to-end data collection and high-volume human labeling services may need additional vendors or internal staffing. This can increase coordination effort for programs that rely heavily on external annotators. It is a better fit for teams that want to run labeling operations with their own people and processes.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Community | Free | For open-source projects, individuals, ML researchers and small teams; no credit card required. Limits shown on official site: Storage 5 GB; Files 10,000; Members: 2; Retention: projects archived after 30 days of inactivity. |
| Pro | From €199 per month | Best for startups, labeling teams and smaller businesses. 30-day free trial. Defaults: Storage 50 GB (option: Add 100 GB for €40); Files 50,000 (option: Add 100,000 files for €40). Add-on tiers listed on site: Image/Video Max +€99; Medical Max +€149; Cloud Points Max +€399. Members: 3 included (site shows €85 per extra regular member); Labeling members (role-limited collaborators) add-on €35 / user. Labeling hours (pay-as-you-go) €0.65 / hour. Cancel anytime. |
| Enterprise | Custom pricing | Self-hosted or cloud solution for companies with custom requirements of any size. Unlimited storage/files, SSO, priority support, on-premise/private SaaS, Kubernetes installs, custom SSL/CDN, managed services and SLAs. Contact sales / get a demo for pricing. |
