Labellerr is an AI-powered data labeling platform designed to streamline the annotation process for various data types, including images, videos, text, audio, and PDFs. It leverages advanced automation and human-in-the-loop quality assurance to enhance efficiency and accuracy in preparing datasets for machine learning models.
Performance Score
A+
Content/Output Quality
High
Interface
User-Friendly
AI Technology
Advanced Automation
Purpose of Tool
Data Annotation
Compatibility
Multi-Format Support
Pricing
Flexible Plans
Who is Best for Using Labellerr?
- AI/ML Developers: Need efficient data labeling for model training.
- Data Scientists: Require accurate annotations for analysis.
- Businesses: Seek scalable solutions for large datasets.
- Researchers: Demand high-quality labeled data for studies.
Automated Labeling
Multi-Data Type Support
Smart Quality Assurance
MLOps Integration
Project Management Analytics
Enterprise-Grade Security
Customizable Workflows
Real-Time Collaboration
Is Labellerr Free?
Labellerr offers a free Researcher Plan, ideal for students and academic researchers. This plan includes 2,500 data credits, 1 seat, 1 workspace, and support for all basic data types. For more extensive needs, paid plans are available.
Pricing Plans
- Researcher Plan – Free: Includes 2,500 data credits, 1 seat, 1 workspace, and support for all basic data types.
- Pro Plan – $499/month: Includes 50,000 data credits, 10 seats, unlimited projects, and access to advanced automation features like SAM and active learning.
- Enterprise Plan – Custom Pricing: Offers unlimited data credits and seats, multiple workspaces, SSO, a dedicated enterprise SLA, 24/7 support, and options for private cloud or on-premise deployment.
Pros & Cons
Highly accurate annotations with up to 99.8% precision.
Supports a wide range of data types, including images, videos, text, audio, and PDFs.
Offers advanced automation features, reducing labeling time by up to 80%.
Provides seamless integration with popular MLOps platforms like AWS SageMaker, GCP Vertex AI, and Azure ML.
Ensures enterprise-grade security with features like AES-256 encryption and compliance with HIPAA/GDPR standards.
The free trial period is limited, which may not be sufficient for evaluating all features.
Some users have reported occasional lags and slow processing during peak times.
Integration with other applications can take time and may require technical expertise.
The learning curve for advanced features may be steep for new users.
Pricing can be high for larger teams, which might be a barrier for some users.
