The World We Envision
A society where everyone
is accepted as they are,
and choices in life
Here at Baobab, we respect above all a culture of mutual recognition of differences and mutual assistance among people who are limited in the work they can do, and those who are not.
Through the work we do, we put great importance on fostering a strong sense of self-esteem, and promoting a culture and environment in which one can earn reasonable remuneration for work done. Furthermore, we endeavour to create a system in which anyone, no matter their background or circumstances, can work on projects as a professional, and continuously support their professional development.
This is because we believe that instead of blaming any discontent or frustrations on one's family, partner, company, community, government or nationality, having more people in society who are responsible for making their own choices and decisions, and act of their own volition, will lead to happiness for everyone.
With Baobab's organisation and culture, in which anyone can work as a professional annotator, we provide the best quality AI training data in the world.
Providing the highest quality AI training data in the world
Good quality training data is crucial to the success of AI development. Our training program cultivates professional annotators, and we have developed proprietary tools for annotation tasks. In addition, we implement thorough quality control, enabling us to speedily deliver high-quality AI training data.
We have been providing image annotation services since 2015 such as Bounding Box, Polygon, Semantic Segmentation and Keypoint for images, as well as Video annotation. We have also undertaken many multimodal projects such as captioning videos and still images. In addition to annotation, we also train and evaluate models, and provide Baobab AutoML Vision Report, which is an assessment report to help improve your data.
Transcription and tagging of audio utilizing ELAN and other tools.
We provide this service in multiple languages including Japanese, English and Chinese.
Tagging, classification, pronoun extraction, etc.
Construction of training data for machine translation systems
Since Baobab's inception, we have always worked closely with research institutions and universities developing machine translation systems, for whom we have worked on many multi-million character projects, creating bilingual training data faster and at a more reasonable price than anywhere else.
Bilingual scenario creation in multiple languages
We create audio data of native speakers reading scripted conversations based on your required settings or predetermined conversation scenarios, or simulated conversations between 2 speakers speaking freely, and deliver written transcriptions in your desired format.
Image collection/sound collection
Our partners around the world working remotely collect images, multilingual speeches and other sounds using the Moringa mobile apps developed by Baobab.
Chief Operating Officer, Preferred Networks, Inc.
"Baobab creates high quality image annotation data sets for us according to various different requirements. Furthermore, since the annotators are individually managed, we also entrust the company with the annotation of highly sensitive data."
Associate Professor at the Carnegie Mellon University Language Technology Institute (CMU-LTI)
"I have asked Baobab to create data for research many times, and I really appreciate their willingness and flexibility in responding to even slightly unusual requests. I thoroughly recommend them."
Baobab celebrated its 12th year in business.
Paper co-authored by Baobab accepted at CVPR 2022, the world’s leading conference on computer vision