Reduce annotation costs by 100,000x with Verified Auto Labeling
Get AI-assisted labeling with built-in confidence scoring to prioritize labels for human review — reducing manual QA and accelerating annotation workflows.
Identify your best performing samples, weed out low-quality data, and organize dataset views intuitively — so you can focus on building better models, faster.
Assess overall model performance and inspect individual samples — all in one interactive workflow. Identify failure modes, bias, and blind spots with ease.
Compare models across key metrics and specific data slices to quickly spot performance differences, edge-case failures, and areas for targeted improvement.
Sample-level analysis
Analyze model predictions on individual data samples to reveal hidden errors and critical insights to guide targeted model improvements.
COMPLIANCE & GOVERNANCE
Enterprise-grade security, scale, and extensibility
FiftyOne is built to meet the demands of the most sophisticated ML stacks.