Data QA & Verification
Real-time feedback and data validation, embedded into the annotation process
QA & Verification features
Issue tracking
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
Labeling consensus
Confirm data accuracy by assigning similar tasks to multiple annotators, then compare outputs to check for validity and continuity
Data bugs
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:
Garbage in Garbage out
Poor data leads to poor ML models with poor accuracy rates. Proper QA is the first step of building powerful computer vision applications
Reach production faster
High quality data reduces the volumes of the dataset required in order to reach top model accuracy, saving significant labeling resources
Continuous model improvement
Models must be constantly fed with accurate data to keep and increase their confidence level. Our continuous learning enriches deployed models with every batch
Powering vision AI across industries
Retail
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.
Robotics
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
Autonomous Vehicles
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
Precision Agriculture
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
Explore more Annotation Platform features
Annotation Tools
Annotation made fast & easy
Automatic Annotations
Automate data preparation
Video Annotation
Play, pause, annotate, play again
Workforce Management
Boost your data workflows
Data QA & Verification
Review & validate data quality
Integrated Labeling Services
Get labeled data on-demand
Explore more of our platform
Data
Management
Manage, collaborate, distribute and utilize your data operations, all integrated seamlessly and managed via single point of access.
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Production
Pipelines
Build custom automation pipelines within our serverless environment, to reach production faster and scale indefinitely.
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