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Computer Vision Annotation

Access precise computer vision solutions with our expert image and  video dataset annotation services.

Looking for reliable Computer Vision Annotation Services across the UK, US, Europe and Africa? Aya Data partners with you to deliver precise annotations, accelerating AI and machine learning success. Achieve your AI goals with us!

What is Computer Vision Annotation?

 Computer vision annotation is the process of labeling and marking up visual data (images and videos) to train AI systems to recognize and understand objects, scenes, and their relationships. This human-guided task involves identifying, categorising, and drawing boundaries around specific elements, helping machines learn to interpret visual information accurately and consistently.

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WHY CHOOSE AYA DATA

Computer Vision Annotation Services

Aya Data provides expert computer vision annotation services, using advanced tools to create precise, customized datasets for AI and machine learning projects.

1. Bounding Boxes 2. Polygon Annotation 3. Image Segmentation 4. Keypoint Annotation
Bounding boxes

Bounding Boxes

Our computer vision experts use bounding box annotation to detect and define object locations in images and videos. By carefully drawing rectangular frames around target objects, we enable machine learning algorithms to identify and track objects with precision. This essential annotation service supports various industries including medical AI, geospatial intelligence and autonomous vehicles, ensuring accurate object detection and tracking.

Aya Data's expert team accelerates and supports your ML journey by extracting real-time data from videos and images for your computer vision project.
polygon annotation

Polygon Annotation

Our expert annotators use polygon annotation to precisely outline objects with complex or irregular shapes. By plotting connected points along each vertex and edge, we create tight-fitting polygons that accurately capture the object’s exact silhouette. This detailed annotation method ensures maximum precision for training machine learning models, delivering superior results compared to simpler annotation techniques.

Aya Data's expert team accelerates and supports your ML journey by extracting real-time data from videos and images for your computer vision project
image segmentation

Image Segmentation

 Our team specializes in image segmentation, a precise annotation method that partitions images into distinct segments at the pixel level. Each pixel is carefully assigned to predefined classes or categories, allowing for detailed identification of specific objects or areas of interest. This meticulous approach enables machine learning models to understand and process images with exceptional accuracy and detail.

Aya Data's expert team accelerates and supports your ML journey by extracting real-time data from videos and images for your computer vision project
Keypoint annotation

Keypoint Annotation

 Keypoint annotation involves precisely marking critical points of interest in images and videos, such as facial landmarks, body joints, or product features. Our annotators create detailed keypoint skeletons by connecting multiple points, enabling AI models to understand spatial relationships and object orientation. This nuanced annotation method powers various applications, from facial recognition to pose estimation and quality inspection systems.

Aya Data's expert team accelerates and supports your ML journey by extracting real-time data from videos and images for your computer vision project

Industries We Serve

 We provide high-quality data annotation services across a range of industries and use cases.

Agriculture

We help farmers and agribusinesses harness AI to optimize crop yields, reduce waste, and make informed decisions.

Healthcare

We offer expert medical imaging and clinical data annotation for advanced healthcare AI applications.

Robotics

We offer precision robotic data annotation for advanced movement training, from delicate object handling to specialized tasks.
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Aerial/geospatial
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Automotive
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E-commerce
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Finance/Insurance
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Infrastructure
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Manufacturing
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Public Sector
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Security and Surveillance
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Telecommunications
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Utilities
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COMPUTER VISION

Use Cases

Learn how AI enhances computer vision across industries, from medical imaging and autonomous vehicles to agriculture and retail, enabling precise object recognition, automation, and data-driven decision-making.

Computer Vision,Computer Vision Annotation,Computer Vision Annotation Services,keypoint annotation services,computer vision data annotation services,aya data ai annotation services
Computer Vision,Computer Vision Annotation,Computer Vision Annotation Services,keypoint annotation services,computer vision data annotation services,aya data ai annotation services
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We help businesses of all sizes effectively navigate their AI journey.

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The Aya Advantage
1/ Exceptional Customer Experience
2/ Unwavering Quality
3/ Unparalleled Subject Matter Expertise

Exceptional Customer Experience

  • Tight communication feedback loop
  • Transparent pricing, no hidden fees
  • Domain-specific project management teams
  • Flexible engagement models
  • Ongoing support and consultation
  • Unwavering Quality

  • Custom quality control methodology
  • Innovative solutions for complex challenges
  • ISO 9001, HIPAA, GDPR, SOC2 compliant
  • Swift issue resolution processes
  • Scalable, reliable service delivery
  • Unparalleled Subject Matter Expertise

  • Large team of domain-specific data specialists
  • Experienced data scientists and engineers
  • Broad network of expert partners
  • Multilingual and multicultural competencies
  • Proven track record of success
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    Frequently Asked Questions

    What are computer vision annotation services?
    Computer vision annotation services involve labeling images or videos to train AI models. This includes tagging objects, bounding boxes, segmentation, and keypoints to help machines recognize and interpret visual data accurately.
    What types of image annotation are used in computer vision?
    Common types include bounding boxes, polygon annotation, semantic segmentation, keypoint annotation, and landmark annotation. Each type serves specific AI applications like object detection, medical imaging, or facial recognition.
    How do you ensure quality in computer vision annotation?
    Quality is ensured through expert annotators, rigorous QA processes, and tools that validate accuracy, consistency and adherence to project guidelines.
    What industries use computer vision annotation?
    Industries like healthcare, automotive, retail, agriculture, and security use computer vision annotation for applications such as medical imaging, self-driving cars, inventory management and surveillance systems.
    What is the difference between 2D and 3D annotation?
    2D annotation labels objects in flat images, while 3D annotation adds depth and volume, often used for LiDAR data in autonomous vehicles or 3D modeling.
    Why is image annotation important for AI?
    Image annotation provides labeled datasets essential for training AI models. It improves accuracy in tasks like object detection, facial recognition and autonomous driving by teaching machines to identify patterns and objects.
    What are the challenges in computer vision annotation?
    Challenges include handling large datasets, maintaining annotation accuracy, managing costs, and ensuring consistency across diverse data types and formats.
    Computer Vision,Computer Vision Annotation,Computer Vision Annotation Services,keypoint annotation services,computer vision data annotation services,aya data ai annotation services
    Computer Vision,Computer Vision Annotation,Computer Vision Annotation Services,keypoint annotation services,computer vision data annotation services,aya data ai annotation services

    Simplify Your AI Development Today!

    Do you need help with Data Acquisition, Data Annotation or building a custom AI model? Aya Data is ready to partner with you. Talk to us today!

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