Case Study: Leading Dallas Healthcare Startup Company achieves accurate skin-condition detection with TransPerfect (DataForce)

Detection & Diagnosis of Various Skin Conditions

Leading Healthcare Startup Company, launching a mobile app for detection and diagnosis of skin conditions, needed thousands of diverse, medically authentic images to train its diagnostic algorithm. To solve this, the customer engaged TransPerfect’s DataForce medical image collection and annotation service to source and label the data required for model development.

TransPerfect’s DataForce collected more than 20,000 unique images and assembled 5,000 unique participant datasets, annotating each image by skin type/ethnicity, size, duration, and condition type, with medical subject matter experts verifying severity and stage; no web-scraped images were used. The high-quality, accurately labeled dataset from TransPerfect accelerated model training and readiness for market launch, providing measurable outputs (20,000+ images and 5,000 participant datasets) that materially supported the product’s development.