Learnt.ai
Learnt.ai is an AI training data platform that helps companies build high-quality datasets. It allows users to generate, validate, and optimize training data for machine learning models with human-in-the-loop workflows.
training-data
machine-learning
data-validation
Learnt.ai: AI Training Data Platform
Learnt.ai is an AI training data platform that helps companies build high-quality datasets. It allows users to generate, validate, and optimize training data for machine learning models with human-in-the-loop workflows.
What is Learnt.ai?
Learnt.ai is an end-to-end training data platform designed to help companies build high-quality datasets for machine learning. Some key capabilities include:
- Data collection workflows like image annotation, text classification, data cleanup, etc. powered by human workers
- Advanced QA mechanisms like consensus, custom rules, and statistical analysis to validate label quality
- Data augmentation, sampling, and analysis tools to improve dataset composition and minimize bias/noise
- Integration with popular ML frameworks like TensorFlow, PyTorch, and scikit-learn to streamline model building
- Collaboration features for teams to work together on labeling projects
- APIs and connectors to ingest/export data from other systems and build custom workflows
- Usage-based pricing, dedicated support and enterprise capabilities for large scale projects
In summary, Learnt.ai provides a scalable, accurate, and efficient platform for generating machine learning training data and accelerating AI application development.
Learnt.ai Features
Features
- Data labeling workflows
- Data validation
- Active learning
- Data augmentation
- Integrations with data storage services
- APIs
- Collaboration tools
Pricing
- Subscription-Based
Pros
Improves training data quality
Reduces costs of data labeling
Speeds up model training
Easy to use interface
Scales to large datasets and teams
Cons
Can be expensive for large datasets
Limited customization options
Requires expertise to set up optimal workflows
Official Links
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