Leveraging Human-in-the-loop Machine Learning process to increase e-commerce conversion rates
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Srinivas Naidu Senior Software Developer“I won’t be lying if I say that I am yet to experience Monday blues. I look forward to coming to the office every day.
Sriharsha Arvapalli Team Leader - Business DevelopmentHuman-powered, machine-assisted image processing offers unmatched analytical subtlety alongside stunning efficiency.
Images, whether simple or rich, may contain considerable depth of data. A single visual data point like a simple photo of a man entering a city storefront contains information on the man’s clothing, his physical characteristics, his facial expression, and much more.
Human-powered image data annotation services unlock diverse insights underlying visual data. By curating data sets toward the highest possible quality, image annotation also provides an invaluable source of training data for machine learning tools. It further amplifies the long-term value of professionally processed image data. Meanwhile, identifying audio data that fulfils specific project parameters requires an in-depth knowledge of this unique data medium.
While every image has a wealth of hidden information, analyzing large image-rich data sets with exacting quality standards involves logistical challenges. Potentially time-consuming issues abound while annotating and analyzing image data. Duplicate images need to be carefully reviewed to confirm no subtle differences are missed.
Unlocking this wealth requires highly trained analysts, a proven methodology for collecting and analyzing vast quantities of images, and customized tools powered by machine-learning automation.
To process data with this sort of subtle touch and to ensure an efficient data pipeline, you need human analysts specifically trained on collection and analysis of image data at a large scale, image annotation, and machine-learning automation tools.
Image Collection
Image Annotation
Image Insight
We begin by identifying image data sets that fit client-defined project priorities, sourcing data both by acquiring it from private vendors and publicly available data sources. When necessary, we help create custom image sets, working with a network of photographers and image experts around the globe.
From there, we curate and organize data while ensuring that any existing encored information is entirely accurate. Once the data is stored and organized, analysis and annotation efforts can begin in earnest.
Leveraging its experience supporting large-scale data collection efforts across the globe, Zen3 has developed a proprietary AI-driven platform called Datamime. This platform provides a suite of flexible, powerful tools and process automation explicitly designed to streamline data collection and analysis efforts, including specialized tools for image data. From data collection to translation to annotation to delivery, Datamime provides self-learning tools that ensure unmatched efficiency for our clients.
For clients that need assistance developing their own machine learning models, we draw on our experience in developing enterprise-grade self-learning platforms from the ground up.
Our machine learning model building services help execute prototypical applications, including:
Images Collection and Curation
Translation Transcription and Transliteration
ML Automated Labeling and Annotation
Human Annotation and Labeling with Quality Control
Converting and Automating Ongoing Images Data Requirements
Images Data Moderation
Successful AI Data Items Delivered
Expert Annotators
PII Compliant
Successful AI & Data Projects
Data Acceptance and Accuracy
Coverage
Our Data Services Group covers more than image data. With over 150+ million data entries, a 1200+ person team of experts, experience in 20+ languages, and presence in over 13 markets, we help deliver no matter how ambitious our clients’ vision is.
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