Use Cases

Accelerate AI development with Datumo

We quickly build large, high-quality datasets through systematic selection, training, and management of data labelers.

Curating a vehicle dataset through crowdsourcing

"We were able to quickly and accurately collect and process data from 200 vehicles through the Datumo platform. This allowed us to verify our data curation system, including OBD dongles, apps, and servers, and validate our driving score calculation algorithm based on the curated dataset. In addition, through continuous communication, we were able to promptly address any issues and complete dataset curation within the given timeframe."

Data preprocessing and verification necessary for developing an STT model that recognizes speech of children with developmental disabilities

"We requested data preprocessing and verification for speech data of children with developmental disabilities from Datumo for our therapeutic institution. They provided professional services including creating a non-disclosure agreement and planning data security and processing, which was very helpful. The quality of the final processed data we received was very satisfactory, and we were able to develop an STT model with a very high level of accuracy."

* Relevant patent number(10-2114223-0000)

Image collection and processing for improving object recognition function of visual aids for the visually impaired and low-vision individuals

"We requested Datumo to collect various types of object data for our daily life. They were meticulous in checking the collection conditions that we may have missed or not mentioned, and we were able to receive the final data in the desired format. Thanks to Datumo, we were able to save a lot of time and cost. We hope to work with them again in the future if given the opportunity."

A regional and SaaS-based hobby class matching platform

"MochaClass is currently building a personalized recommendation system for hobbies and classes using AI and trend analysis. Developing a personalized recommendation model based on AI requires numerous user data, product data, and interaction data. We worked with Datumo to secure a large initial dataset, which enabled us to develop the initial version of the personalized recommendation model."

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