Consistent & Accurate Data Labeling
For any CV model type, sensor / modality, & annotation format.
AUTO-DATA LABELING
A unique approach to automated custom data labeling with human expertise applied to accelerate effective computer vision algorithm training.
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No In-House Workforce Required
Or labeling tools needed to quickly apply custom annotations across existing datasets.
Integrates Easily into AI / ML Pipelines
To curate highly-effective training datasets quickly, at scale.
Avoid the Data Quality Issues That Quickly Derail Computer Vision Projects.
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Enhance Current Datasets
Apply custom annotations to any CV dataset, enhancing the usability & value of your existing assets immediately.
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Enable Faster Dataset Merging
Remove the frustration & manual labor related to combining your best data assets to curate optimized training information for specific projects.
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Automated Annotation Mapping
For rapid processing of training datasets into different annotation formats to pivot at a moment’s notice when project needs change.
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Access Readymade Workflows for Future Needs
Auto-labeling functions are generated using customized synthetic data generation & already-trained models that you can tap into for future use at anytime.
Improve Training Data Quality Instantly
Automated data labeling services infused with rich domain expertise, optimizing training assets
for any computer vision development project with Rendered.ai Data Labeling.
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