“DATUMO’s platform allowed us to swiftly and accurately complete data labeling for quite amount of media contents. Accurate labeling was carried out in a timely manner- earlier than we have anticipated. Had it not been for DATUMO, it would have taken much longer for us to independently employ workers. Instant feedback was also possible via constant communication. As a result, we received data in high quality as we had wished for, and developed and advanced the AI model according to our pvurposes.”

“Working with DATUMO, I was most surprised by the data quality. DATUMO delivered us data in exquisite quality despite the tight schedule, which provided great help in developing the image segmentation model for the autonomous driving robots. We will definitely work again with DATUMO on our next project.”

“With DATUMO, we ran a data labeling project for fashion and clothing images (Bounding Box, Tagging, and Landmark). To meet up with our specifications, DATUMO actively communicated. As a result, we could get well-processed dataset we wanted with the reasonable cost.”

“We contacted DATUMO to collect and label indoor environment images for developing AI algorithm for the smart home. We especially had a difficulty with collecting diverse data on our own. However, mobile crowdsourcing platform from DATUMO made this possible for us! With their professional understanding on various data, we could achieve everything from the quality, delivery time, to the management of the whole project. ”

“Our project with DATUMO required lots of efforts and time input because it was to collect and label question data generated from various types of books. Moreover, it demanded numerous reviews back and forth between us and DATUMO, however, they held on to it until we got the finalized data with exceptional quality.”

“While building the KLUE dataset with DATUMO, we were most impressed by their data quality assurance system. Despite the intricacy of the data and the tight deadline, DATUMO was able to provide specific guidelines for the workers to guarantee data consistency. They also made sure to train and select qualified workers, and inspect the entire dataset. We believe that KLUE, the representative Korean NLP benchmark dataset, was able to come into the world, owing to DATUMO’s capability and passion.”

“With DATUMO, we were able to efficiently collect KorQuad 2.0, a Question-Answer dataset in Korean. We loved the quality and diversity of data, collected from broad workers. Especially, DATUMO's user guideline for our task was very impressive, capturing our expectations into clear explanations for the workers.”

“We were able to collect accurately processed large OCR data using DATUMO platform very promptly. DATUMO delivered the data for less than a month period, while our own in-house workers took almost six months to complete. Continuous communication and instant feedback updates were especially satisfactory. Loved cost, quality, and delivery time and we were happy to save many resources.”

“In search of voice data of professional voice actors, we contacted DATUMO. DATUMO has been much helpful in providing with samples during the early process of selecting the adequate voice. The quality of the final data received was very satisfying as well. We hope to work with DATUMO again in the future.”