FiftyOne

The most powerful way to analyze, curate, and evaluate multimodal datasets to improve model performance.

Freemium

Description

FiftyOne, developed by Voxel51, provides a robust toolkit for working with visual AI datasets. It enables teams to gain deep visibility into the quality of their data, helping to uncover biases, gaps, and potential failure modes that hinder model performance in production environments. The platform supports diverse data formats and modalities, including images, videos, 3D data, and point clouds, whether stored in the cloud, on-premises, or in hybrid setups.

The core functionality revolves around visualizing, managing, and analyzing large-scale datasets. Users can organize samples with various metadata and label types, search through data using specific criteria or natural language, and filter datasets to curate high-quality subsets for training. FiftyOne facilitates model evaluation by analyzing detections, calculating aggregate metrics, and identifying specific samples or edge cases where models struggle. It also aids in optimizing data annotation processes by identifying labeling errors and selecting the most impactful samples for annotation, thereby reducing manual effort and cost.

Key Features

Visualize & manage data: Visualize and manage millions of samples across diverse formats (images, videos, 3D, point clouds) with metadata and label types.
Curate quality data: Query, sort, filter, tag, and group data using attributes, similarity, or natural language to refine datasets.
Analyze data patterns: Utilize embeddings to understand data distributions, find patterns, uncover outliers, gaps, and labeling errors.
Evaluate models: Analyze model detections, aggregate performance metrics (mAP, precision, recall), identify failure modes, and compare models.
Optimize annotation processes: Employ zero-shot techniques, identify annotation errors, and mine difficult samples for targeted labeling.
Integrations & Extensibility: Connect with various datasets, models, annotation tools, cloud providers, and extend functionality via plugins.
Vector Search: Perform vector searches and similarity queries on large datasets.
Deployment Flexibility: Deployable in the cloud, on-premises, hybrid, or air-gapped environments.