Are you overwhelmed by the number of medical images your staff must analyze for your AI research model? We train our managed workforce to quickly and accurately perform cell and tissue annotation, which means your researchers can focus on developing and bringing new treatments to market faster.
Rapid, complex labeling of over 1 million cells
The biopharmaceutical equipment supplier Sartorius partnered with CloudFactory to annotate a large, diverse cell dataset for its neural network analysis solution. Our trained data analysts applied precision labeling techniques to complex microscopy images and bounding boxes for tracking cell movement.
This [5,000 image] dataset was manually annotated with the help of CloudFactory. It’s about 20 times larger than the second-largest dataset in this domain. The project took CloudFactory six months. Using in-house resources, it would have taken us several years to finalize.
Rickard Sjögren
Senior Scientist
CloudFactory data analysts quickly learn to perform complex segmentation and annotation of microscopy images to meet your quality standards.
We train our data analysts to understand your market. And we directly manage them to ensure speedy delivery and quality training datasets.
Get insight into how to choose the right workforce to accurately and cost-effectively annotate your healthcare AI datasets.
Save time and money by outsourcing precise image segmentation and annotation to CloudFactory’s experienced medical AI workforce.
As a HIPAA-compliant business associate, CloudFactory is committed to protecting sensitive personal and health data.
