Data QA & Verification
Real-time feedback and data validation, embedded into the annotation process
QA & Verification features
Review annotations and flag errors right as they occur, then create QA workflows and assign tasks to ensure data validation. All “open issues” and items for review are displayed in a live dashboard
Confirm data accuracy by assigning similar tasks to multiple annotators, then compare outputs to check for validity and continuity
Create a direct communication channel between managers and annotators, who can comment on missing annotations and inaccuracies in real-time. Added like any other annotation tool
Our expert advice Having worked with millions of data items, we are well aware of the negative outcomes of using improper data. Here are our reasons for performing comprehensive data quality checks throughout the data preparation process:
Powering vision AI across industries
Providing actionable insights to annotation QA managers in retail, serving cashierless stores, shelf management systems, product recommendation and recycling segmentation applications
Drones & Aerial Imagery
Helping remote sensing ML teams identify and fix errors in their datasets immediately upon creation, leading to higher accuracy in visual inspections, object tracking, land surveying, safety monitoring, etc.
Supplying robotics teams with validated datasets for machine vision development, training and deployment, enabling both domestic and industrial systems to perform any task at hand
Making sure that all objects inside and around a vehicle are labeled with pixel-level accuracy, to ensure that autonomous driving applications reach production with life-saving reliability
Advancing practices in farming and raising livestock, by ensuring expert-level accuracy in vision applications that increase crop yield, quality and consistency with minimal waste
Media & Content
Enabling developers of sports analysis, content moderation, or image enhancement applications reach production faster, by ensuring that only top-quality data gets used in development
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Manage, collaborate, distribute and utilize your data operations, all integrated seamlessly and managed via single point of access.
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