rProcess delivers video annotation services that power AI, machine learning, and data operation strategies. Video annotation is the process of labeling or tagging video clips, frame by frame, which trains computer vision models to detect or identify objects. High-quality video annotation generates ground truth datasets for optimal machine learning functionality.

rProcess provides video annotation services for all annotation projects, including bounding box annotation, polygon annotation, keypoint annotation, and semantic segmentation. Their team works with the client to calibrate the quality and throughput of the job and deliver the best cost-quality ratio.