voxel51/fiftyone
Refine high-quality datasets and visual AI models
What it solves
FiftyOne is designed to help developers build high-quality computer vision datasets and models. It addresses the challenge of visualizing, labeling, and evaluating visual AI development more efficiently, allowing users to identify failure modes and fix data issues more quickly than traditional methods.
How it works
FiftyOne provides a visual interface (the FiftyOne App) that allows users to explore images, videos, and associated labels. It integrates with popular deep learning libraries like PyTorch and Hugging Face, enabling developers to evaluate model performance and visualize embeddings to find points of interest in their data.
Who it’s for
It is built for computer vision engineers and AI researchers who need to curate datasets, perform quality assurance on labels, and iterate on their models based on visual evidence.
Highlights
- Native Annotation: Create and edit 2D and 3D labels directly in the app or integrate with external tools.
- Visual Exploration: Powerful interface for exploring complex image and video datasets.
- Embedding Exploration: Ability to select and view samples based on embedding points.
- Model Analysis: Tools to evaluate model performance and identify specific failure modes.
- Data Curation: Advanced tools to find and fix annotation errors and edge cases.
- Extensibility: Open and customizable via plugins to fit specific project needs.