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Clean Data for Robust AI
Make your AI models robust, unbiased and as you desire
by clean data from TheOneAI
Make your AI models robust, unbiased and as you desire
by clean data from TheOneAI
Keep your data clean, noise-free and inbiased
We provide you excitingly cost effective solutions for your data.
No matter how small or big your company is, we are always here to provide your data annotation needs.
A team of experienced ML engineers/ Data Scientists to help you.
If you are a medical AI company, and need expert data annotation, we are here to help you.
We firmly belive in data privacy and annonimity. We are your trusted partner for your data
Unleash Your Data Potential with TheOne Annotation
Annotation Projects
Model Development Consultency
Project Delivery Time (Months)
Satisfied Clients
All the pricing are subject to project complexity and amount of data
Basic Computer Vision Annotations (Detection/Classification)
Perpixel semantic/instances segmentation/tracking
Trained medical professionals are available to help
Machine Learning Engineer & Data Scientist. Over 7 years of experience as a Computer Vision and Machine Learning Engineer, specializing in Segmentation, Detection, Classification, and developing Recommendation systems as well as medical image processing.
Abdula Quader has over 13 years of experience in engineering management that spans from Business development to strategic project management both for government and private sectors.He has vast experience in working different govt project in Australia UAE and Malaysia.
Full Stack Software Engineer with over 10+ years experience mainly focusd on Frontend Development and UI/UX. Having practical knowledge of full Software Development Life Cycle and dealing with customer for requirement collection and analysis.
Elyor is the lead ML Scientist at Opentrons Labworks UK Ltd and has more 8 years of experience as machine learning and AI engineer. His experiences extends from computer vision to bioinformatics.
Professor Zahid has more than 10 years of academic and industrial experience in Machine Learning. Apart from academia, Dr.Zahid has experience working at Samsung Advanced Institute of Technology (SAIT) in Suwon, South Korea.
58 Lamington Ave,Lutwyche,QLD-4030,Australia
(+61) 0405802225
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