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TigerLabel vs Labelbox

Get better AI pre-labeling, transparent pricing, and faster results. See why teams are switching from Labelbox to TigerLabel.

Why Teams Switch to TigerLabel

TigerLabel delivers better results at lower cost with modern AI assistance

Superior AI Pre-labeling

TigerLabel integrates SAM 2, GPT-4 Vision, and the latest foundation models for faster, more accurate pre-labeling. Labelbox requires more manual setup.

40% More Affordable

Transparent, predictable pricing with no hidden platform fees. Pay for what you use with volume discounts. Labelbox pricing can be opaque and expensive.

Faster Time to Value

Start labeling in minutes with intuitive workflows. Labelbox often requires weeks of setup and training.

Managed Workforce Included

Access our vetted, trained labeling workforce at no extra platform cost. Labelbox charges premium fees for workforce access.

Feature Comparison

See how TigerLabel compares feature-by-feature

Annotation Tools

Feature
TigerLabel
Labelbox
Bounding boxes & polygons
Semantic segmentation
Instance segmentation
3D point cloud annotation
Video annotation & tracking
Medical imaging (DICOM)

AI Assistance

Feature
TigerLabel
Labelbox
SAM 2 integration
Custom model pre-labeling
GPT-4 Vision for descriptions
Active learning
Auto-annotation for video
Real-time quality prediction

Workflow & Quality

Feature
TigerLabel
Labelbox
Custom workflow builder
Multi-stage review
Consensus labeling
Gold standard tests
Real-time quality metrics
Automated quality gates

Workforce

Feature
TigerLabel
Labelbox
Internal team management
Managed workforce included
Skill-based routing
Performance analytics
Flexible pricing per labeler

Pricing & Deployment

Feature
TigerLabel
Labelbox
Transparent pricing
Usage-based billing
Cloud deployment
On-premise deployment
Free tier available
We migrated from Labelbox to TigerLabel and immediately saw a 50% reduction in annotation time thanks to the superior AI assistance. The cost savings were significant too - we're now spending 40% less on our labeling pipeline.
Michael Rodriguez
VP of Engineering, VisionAI
50%
Faster annotation
40%
Cost reduction
3 days
Migration time

Easy Migration from Labelbox

Our migration experts help you switch with zero downtime

1

Export Your Data

Export projects from Labelbox in COCO or JSON format

2

Import to TigerLabel

Use our one-click importer to migrate projects, ontologies, and annotations

3

Configure Workflows

Set up your quality rules and team permissions (our team helps)

4

Start Labeling

Begin labeling with AI assistance - typically within 24 hours

See TigerLabel in action

Ready to Build
Better AI?

Join thousands of AI teams using TigerLabel to create high-quality training data. Schedule a personalized demo to see our platform in action.

✓ Personalized demo✓ No commitment required✓ Expert guidance✓ SOC 2 Compliant