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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 Ops

Data factory for AI teams — labeling, evals, and human data for training.

View Labelbox

Supervisely

Vision

All-in-one computer vision platform to curate, label, and train models.

View Supervisely

At a glance

Feature comparison of Labelbox and Supervisely
AttributeLabelboxSupervisely
Category (differs)Data OpsVision
PricingFREEMIUMFREEMIUM
LicenseProprietaryProprietary
Deployment (differs)CloudHybrid
PlatformsWeb, APIWeb, API
Model support (differs)Model-agnosticMulti-model
Vendor (differs)LabelboxSupervisely

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