We introduce the data labeling service with human-powered work in order to manually curate datasets, and in some cases, computer-assisted help. The types of labels are predetermined by a machine learning engineer and are chosen to give a machine learning model-specific information about what is shown in the data in order to teach the model from these examples.

We ensure the quality is measured by both the consistency and the accuracy of labeled data. Our teams are experts with all intents and purposes for each major inventive stage, including Image classification, Bounding boxes, Polygon annotation, Semantic segmentation, 3D cuboids, Key-point annotation, Image, and video labelling.