Case Study: Safari AI achieves faster, more accurate model delivery with V7 Darwin

How Safari AI Improved Model Accuracy and Reduced Time to Delivery by 50% with V7

Safari AI, a computer vision company that automates the measurement of physical operations for enterprises, needed to ensure high model accuracy and timely delivery for its clients. Their challenge was finding a robust platform to handle large-scale data annotation and model training to meet demanding project timelines, leading them to partner with V7 and utilize its Darwin training data platform and on-demand workforce.

By implementing V7’s services, including its professional labeling workforce and model-assisted labeling feature, Safari AI significantly enhanced its operational efficiency. The results were substantial, with the company reducing its project delivery time by 50%, lowering annotation costs, and scaling its ability to handle over 10,000 images per week while improving model accuracy.

Safari AI

Adrian Levitt

Head of Ops & Finance