LabelME
Web-based tool for labeling image datasets
Pricing
See website
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
—Overview
What is LabelME?
LabelME is a web-based tool that allows users to annotate images with object labels and segmentation masks, facilitating the creation of labeled datasets for machine learning tasks.
Key differentiator
“LabelME stands out as a flexible, open-source tool specifically designed for creating labeled datasets with object labels and segmentation masks, making it ideal for research and educational projects.”
Capability profile
Strength Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
Fit analysis
Who is it for?
✓ Best for
Research teams needing a flexible tool to annotate image datasets with object labels and segmentation masks
Educational projects that require hands-on experience in creating labeled datasets
✕ Not a fit for
Teams requiring real-time annotation capabilities or integration into existing cloud services
Projects that need high-throughput data labeling for large-scale production environments
Cost structure
Pricing
Free Tier
None
Starts at
See website
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Next step
Get Started with LabelME
Step-by-step setup guide with code examples and common gotchas.