Case Study: OneCup achieves faster, cheaper ranching AI training with SuperAnnotate

How SuperAnnotate helps OneCup solve some of the world’s biggest challenges in ranching

OneCup, a precision ranching company, needed a way to build high-quality AI training datasets for its BETSY cattle-monitoring system. Its challenge was annotating massive volumes of video and image data with enough precision, speed, and curation quality to support complex computer vision models for tracking animal health, identity, and behavior.

SuperAnnotate provided an end-to-end annotation and curation platform using bounding boxes, keypoints, classification, and Explore for quality control. With SuperAnnotate, OneCup cut annotation costs by 10–20x, accelerated quality assurance by 32x, and made annotation work 5–10x easier, while also improving dataset quality and model performance.

OneCup

Geoffrey Shmigelsky

Chief Technology Officer