Snorkel enables users to create training data for machine learning models quickly and efficiently. It leverages weak supervision techniques to automate the labeling process, reducing manual effort.
Key features
- Automated data labeling through weak supervision
- Customizable labeling functions for flexibility
- Active learning capabilities to improve model accuracy
- Integration with popular machine learning frameworks
- Open-source with a supportive community
Pros
- Free to use with an open-source model
- Speeds up the data annotation process significantly
- Highly customizable for various use cases
- Strong community support and resources available
Cons
- Steep learning curve for new users
- Limited built-in features compared to enterprise tools
- May require additional setup for complex projects