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

CattleEye develops AI models 10x faster with V7

CattleEye, an AI-first cattle monitoring company, faced the challenge of monitoring cows to provide farmers with insights on herd health and detect individual behavioral anomalies or health issues. To build robust AI models, they needed to efficiently manage and annotate large volumes of video data collected from overhead security cameras on farms. They turned to V7 Darwin to address this challenge.

By implementing V7 Darwin's video annotation tools, including bounding boxes and a keypoint skeleton tool, CattleEye significantly sped up their annotation process. The solution enabled them to move from manual on-farm visits to fully remote video scoring, enriching their training data variety from global farms. V7 helped CattleEye develop AI models 10x faster, saving travel time for vets and reducing disturbance to the herd. The automation provided by Darwin's API was also invaluable for their workflow.

CattleEye