Looking for fully-managed data annotation services, custom AI solution development, and/or AI team augmentation?
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Accurately labelled data translate to better model performance - an underlying truth about machine learning and its functional potential. We partner with AI enterprises to co-create workflows, provide human-in-the-loop, pixel-accurate data labeling services, and deliver robust training datasets.
We have experience working in both simple iteration of annotation works as well as complex, multi-tool assignments when and as required by our partners. We also accommodate free pilot projects to understand quality and velocity parameters of all assignments, and provide both standard and custom pricing.
DO A FREE PILOTCHECK OUR OPEN DATASETSWe process over 24,000 hours of annotation work per month in computer vision, NLP, ASR, and specialty supervised learning use-cases with 95% accuracy. We have both on-prem and remote workers in our employe with the ability to scale in short notice.
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Feature Product
Accurate delivery of livestock inputs, such as feed and medicine, are dependent on a livestock weight. Problem is that in remote, rural farmer communities in South Asia, weighing scales are not available wherein farmers and paravets often resort to 'guesstimating' weight - leading to livestock mismanagement.
We developed an computer vision-based machine learning model that works through smartphone cameras to detect weight with 92%~ accuracy.
Thinking about training dataset, data quality, algorithmic bias, ground truth, killer robots, frontier technologies to solve real-world problems, and mostly, an autonomous world is one of our favorite past-times.
Road traffic accidents is a fatal scourge in the context of Bangladesh. The question is, whether AI can work to prevent road traffic crashes through predictive analysis.
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Illegal, unregulated and unrestricted fishing, maritime piracy, and illegal trades are critical issues of coastal security where real-time and actionable information can track and thwart intrusions.
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The foundation block for providing training dataset, image annotators are the invisible heroes who support the development neural networks and AI solutions.
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The future of work is constantly evolving to best accommodate the demands of the 4th industrial revolution, transforming traditional gig work models.
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Supported by the Bill & Melinda Gates Foundation, we built an CV-driven livestock weight detection model to help smallholder farmers to provide accurate livestock inputs.
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We are working with Australia Awards, Bangladesh to assess image annotation as a viable livelihood alternative for people affected economically by the pandemic.
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