Less labeling required for a quicker path to production
Ensure every labeled asset adds value
Better accuracy with less data
Reduce labor costs for higher ROI on your models
Sama supports data selection for computer vision data, using data filtering, rebalancing, and Active Learning pipelines to optimize your labeling process – even on prefiltered and completely unlabeled datasets.
Understand diversity, identify edge cases and prioritize the most high-value data you can label to improve your models
State-of-the-art data curation algorithms such as Active Learning provide a continuous feedback loop to optimize the efficiency of your labeling process
Get high quality labels for your models more quickly, and use advanced analytics to detect data drift and proactively update training sets
Active Learning for Continuous Improvement
Interface to Visualize your Embeddings
Actionable Analytics Reports on your Data
Deployment in the Cloud or On-Premises
Tools for Developers including CLI and API
Actionable Analytics Reports on Your Data
For over a decade, Sama has been helping leading Fortune 50 companies deliver secure, high-quality training data and model validation for machine learning.
Whether it’s curating your training data to have the greatest impact on model accuracy, or to efficiently labeling your data with the help of our directly-managed workforce of annotators and vertically integrated platform – Sama can help you bring your AI models to production faster.