Labelbox vs Supervisely
A side-by-side comparison of Labelbox and Supervisely, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
Labelbox
Data OpsData factory for AI teams — labeling, evals, and human data for training.
View LabelboxSupervisely
VisionAll-in-one computer vision platform to curate, label, and train models.
View SuperviselyAt a glance
| Attribute | Labelbox | Supervisely |
|---|---|---|
| Category (differs) | Data Ops | Vision |
| Pricing | FREEMIUM | FREEMIUM |
| License | Proprietary | Proprietary |
| Deployment (differs) | Cloud | Hybrid |
| Platforms | Web, API | Web, API |
| Model support (differs) | Model-agnostic | Multi-model |
| Vendor (differs) | Labelbox | Supervisely |
| Capabilities (differs) |
|
|
The honest brief
Labelbox
Combines an enterprise labeling UI, model-assisted pre-labeling, and an on-demand expert-labeler network in one usage-metered platform.
- Mature, full-featured labeling UI
- Catalog curation + Model Foundry evals
- Spans RLHF, robotics, and eval datasets
- Usage-based LBU pricing hard to forecast
- Enterprise focus, steeper for small teams
- Proprietary platform, no self-host
Supervisely
Extensible 'OS for computer vision' — an installable app ecosystem spans labeling, training, and inference end to end.
- Images, video, 3D point cloud, DICOM
- AI-assisted labeling
- Installable app ecosystem
- Free tier and self-hostable Enterprise
- Broad platform has a learning curve
- Enterprise pricing is quote-based
- Heavier than a pure labeling tool
When to pick which
Both cover Data labeling.
Pick Labelbox if you need LLM evaluation and Unified search.
- LLM evaluation (primary capability)
- Unified search (secondary capability)
Pick Supervisely if you need Fine-tuning / training, Model inference / serving, and Object detection.
- Fine-tuning / training (primary capability)
- Model inference / serving (secondary capability)
- Object detection (secondary capability)
They also differ on:
- Deployment
- Cloud · Hybrid