rProcess provides image annotation services that power AI, machine learning, and data operation strategies. Image annotation is the process of labeling an image, which involves human-powered work and sometimes computer-assisted help. Successful image annotation projects involving computer vision require high-quality annotation, which will depend on the project’s use case.

rProcess’s image annotation services include bounding boxes, polygon annotations, keypoint annotation, LiDar, semantic segmentation, and image classification. Their team works with the client to calibrate the quality and throughput of the job and deliver the best cost-quality ratio. High-quality image annotation generates ground truth datasets for optimal machine learning functionality.