Process more images to improve model quality and capabilities with greater accuracy and consistency using Snorkel Flow.
Unlock new innovation
Combine image and text caption data in order to extract new actionable business insights and address previously impossible use cases.
Leverage programmatic labeling to improve ground truth quality & AI workflow efficiency by reducing costs related to manual data processing and annotation.
+20% increase in F1 scores, while delivering results 10x faster than human labeling
"We engaged together, and the result is a novel development that brings programmatic labeling into computer vision."
in F1 scores
While delivering results 10x faster than manual labeling
in lost sales
From duplicates and search misses across a catalog of 45M products
Classify images using a variety of programmatic methods
Simplify image classification with natural language
Write natural language queries to search and classify images in your dataset. Seamlessly incorporate critical text metadata from sources like product descriptions, medical image commentary, or satellite imagery, into your image classification workflow.
Discover similar images with precision
Classify images across your entire catalog that are similar to the original, or draw a bounding box in that image and classify all images that are similar to the image patch
Iteratively inspect and correct errors
Automatically detect ways to improve your data quality and correct errors based on inputs from your models and SMEs.
DataComp: In search of the next generation of multimodal datasets
Learn how Snorkel researchers created a multimodal benchmark using 12.8 billion image-text pairs to evaluate new filtering techniques and data sources developed by participants through CLIP training and tested against 38 downstream sets.
Power Computer vision AI use cases
Go from an initial demo to a robust production-ready application using Snorkel Flow.
Leverage computer vision to optimize inventory tracking, analyze shelf stock, optimize shipping and logistics, and more.
Analyze medical images like X-rays, MRIs, and CT scans, to assist in early disease detection and improve diagnostic accuracy.
Automate the extraction and analysis of information from documents, such as forms or invoices, streamlining administrative processes.
Use computer vision for crop monitoring, analyzing plant health, predicting yields, and identifying various species of plants.
Security and surveillance
Enhance the detection of unusual activities and secure access to buildings, systems, and sensitive areas.
Inspect products on assembly lines for defects or deviations from standards, ensuring consistent quality and reducing the need for manual inspection.
AI data development for computer vision
CV data development platform capabilities
Incorporate both raw images and supporting text captions & metadata within the same image annotation workflow
Image similarity search
Annotate images that are visually similar to a given target image or usage words and phrases to search and classify images
Manage teams of manual annotators and SME reviewers within the same product experience as your machine learning workflows
Iteratively analyze & visualize errors in your CV model, correct any mislabeled ground truth