Label Studio
Streamlined data labeling for training machine learning models.
Label Studio is an open-source software for preparing training data for machine learning. It allows users to label various types of data, such as images, text, audio, and video.
This process makes it easier to create high-quality datasets for AI models.
Teams can customize their labeling tasks and integrate machine learning models to assist in annotation, which reduces errors and saves time. By ensuring data is accurately categorized, Label Studio helps improve the performance of machine learning systems. The platform also encourages collaboration among team members, making it a versatile solution for organizations in different industries.
- Label images for AI training
- Annotate text for sentiment analysis
- Classify audio recordings
- Segment video for object tracking
- Categorize documents for NLP tasks
- Identify anomalies in time series data
- Improve model accuracy with labeled data
- Automate data preparation processes
- Facilitate collaboration among team members
- Integrate with existing ML pipelines
- Open-source and flexible
- Supports multiple data types
- Customizable workflows
- Integrates with machine learning models
- Community-driven support
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Product info
- About pricing: Free + from $99/m
- Main task: Data labeling
- More Tasks
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Target Audience
Data scientists Machine learning engineers Developers Researchers Product managers