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    The aortic valve landmark detection results on two example datasets with red dots for the hinge points, yellow for the commissure points, blue for the left coronary ostium, and green for the right coronary ostium. Each row shows three orthogonal cuts of a volume.
    Data Annotation

    Precision Medical Labeling: A Cydar Success Story

    Learn how Aya's image labeling solutions helped Cydar Medical enhance diagnostic accuracy, scale operations, and maintain precise medical labeling standards.

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    Data Annotation

    Simplifying Vehicle Damage Verification for Faster Insurance Claims

    An insurer struggled to manually verify vehicle damage for claims. Learn how Aya’s computer vision model facilitated rapid detection and

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    An example of medical data annotation for 3D DICOM scans, showcasing chest X-ray images with highlighted lung regions. The lungs are annotated with blue overlays, and potential abnormalities are marked in green, illustrating how AI and secure processes facilitate the sourcing and labeling of medical data for analysis while addressing privacy concerns.
    Data Annotation

    Securely Procuring and Annotating Large Volumes of 3D DICOM Medical Data

    A MedTech company faced challenges sourcing and annotating medical scans due to privacy concerns. Learn how Aya ethically procured scans.

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    Data Annotation

    Precision Annotation on Road and Infrastructure Damage.

    A utility company needed a computer vision model for infrastructure maintenance. Learn how Aya’s solution increased efficiency and road safety.

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    Data Acquisition

    Collecting and Processing Cocoa Field Data for Automated Crop Monitoring

    An agricultural company needed data collection and processing for a cocoa plantation. Learn how Aya’s automated crop monitoring solution helped.

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    Data Annotation

    Detecting Environmental Changes with High-Resolution Satellite Images

    A company needed to segment satellite images to detect environmental changes. Learn how Aya's team enabled accurate land-use change detection.

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