FiftyOne Curation
Get insights into your dataset's distribution, diversity, coverage, and more to optimize AI performance. Search, understand, and curate data, hosted securely on your infrastructure, whether in the cloud or on-premise.
Data + Models
Better data leads to better models
80% of AI projects fail due to data issues. FiftyOne allows you to systematically inspect, curate, and analyze your datasets to improve model outcomes.
Distribution
Poor data distribution can lead to bias and blind spots. Use embeddings visualizations to understand how your data is spread across key features and classes.
Balance
Ensure each class in your dataset is proportionately represented. Balanced datasets help prevent performance bias toward overrepresented classes, improving fairness and robustness.
Deduplication
Models perform best when trained on unique data. Remove repetitive samples and reduce dataset storage requirements.
Label Accuracy
Incorrect labels cap model performance and introduce noise. Quickly identify and correct ground truth labels.
Data Augmentation
Use Data Lens to expand your training datasets, improving model generalization and performance while reducing overfitting on limited data.
Multimodal Data
Get support for multimodal data visualization
Visualize images, video, 3D point clouds, geospatial, medical scans, and audio data in an interactive UI.
Compliance & Governance
Enterprise-grade security, scale, and compliance
Robust dataset versioning
Snapshots systematically maintain different dataset iterations, ensuring traceability and reproducibility. Schema, tags, and metadata are tracked at the dataset and sample level.
Role-based access controls
Maintain compliance with configurable roles and fine-grained permissions, enabling secure collaboration across the organization.
ML Workflows
Out-of-the-box workflows for machine learning pipelines
Streamline visual data discovery
Stop waiting days for data teams to deliver samples. Query your data lake and retrieve relevant samples in seconds using Data Lens.
Improve data quality
Pinpoint critical dataset issues that quietly sabotage model performance. By enabling rapid diagnosis and targeted data improvements, FiftyOne ensures your models generalize reliably across real-world conditions.
Avoid model drift
Model drift can degrade performance in production environments. Use active learning workflows to systematically monitor, identify, and correct dataset shifts, ensuring consistent model performance over time.
Continuously improve model accuracy
Model training is never truly complete. With FiftyOne's continuous analysis and embedding-based diagnostics, you can quickly discover and address weaknesses in your data, refining your model iteratively for maximum accuracy.
Questions?
We have answers.
Data curation involves systematically selecting, managing, and refining datasets to ensure high quality and relevance. Effective curation improves model accuracy, reduces training costs, and accelerates AI development by identifying valuable, representative data.
When selecting a data curation solution, evaluate its capabilities for handling your data types and volumes, ease of integration into your existing workflows, scalability for enterprise workloads, and tools for visualizing, querying, and refining datasets. Look for solutions that offer intuitive interfaces, advanced dataset exploration, and automation features to efficiently identify and manage high-value data, ultimately improving your model's performance and reducing project costs.
Curating your dataset enables targeted removal of noisy, redundant, or irrelevant data, ensuring your models train on high-quality samples. This leads directly to improved model accuracy, reduced annotation expenses, and faster time-to-deployment.
FiftyOne provides intuitive workflows for visualizing, querying, and refining visual datasets at scale. Features like similarity search, error analysis, and automated dataset management simplify curation tasks and ensure your training models on the most valuable data.
Enough data wrangling.
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