Case Study: CattleEye develops AI models 10x faster with V7 Darwin

CattleEye develops AI models 10x faster with V7 Labs

CattleEye, an AI-first cattle monitoring company, faced the challenge of monitoring cow health and detecting behavioral anomalies to provide farmers with crucial insights. To build robust AI models, they needed to efficiently manage and annotate large volumes of video data collected from overhead farm cameras. They turned to V7 Labs and utilized their V7 Darwin platform to address this challenge.

By implementing V7 Darwin, CattleEye used bounding boxes and keypoint skeletons to annotate their video data. This solution allowed them to automate data uploads via the API and manage all their training data from a single source. As a result, V7 Labs helped CattleEye speed up their annotation process by 10x, greatly enrich their training data variety, and significantly reduce development time for new algorithms.

CattleEye