FiftyOne is a platform for managing datasets and evaluating models in computer vision and multimodal AI. It helps teams streamline annotation, curate datasets, and track model quality over time. The platform is designed to handle large-scale data and connect to existing ML workflows.
Interface and workflow
You work from a dashboard that focuses on datasets, annotations, and model reports. It includes tools to search, filter, visualize, and label data, with options to import, export, and apply auto-labeling.
Key capabilities
- Manual and automated annotation for images and video
- Dataset visualization, search, and filtering
- Model evaluation and side-by-side comparison
- Integration via APIs and common ML frameworks
- Support for very large datasets (up to billions of samples)
Integrations and requirements
- Requires a Python environment
- Compatible with TensorFlow, PyTorch, Keras, and other ML frameworks
- Works with local and cloud data storage
Typical use cases
- Selecting and labeling training data
- Error analysis to improve model quality
- Large-scale data processing and management for AI projects
