Image Annotation Services

Transform images into AI-ready data with precision

  • Expert annotation across diverse types
  • AI-enhanced labeling accuracy
  • Scalable image annotation for all needs
  • Customized annotation workflows

Get your AI to market quicker. Leverage expert image annotation to supercharge your computer vision model training

Bridge the gap to human-like AI. Let us tackle data inaccuracies and empower your models for superior object recognition.

  • Fuel your AI models with flawless training data delivered with speed and precision.
  • Our expert image annotators create custom solutions using various techniques like bounding boxes and semantic segmentation.
  • Empower your AI to achieve peak performance in image recognition, object detection, and more.


Years of Experience in Data Annotation


Data Annotation Experts


Annotation Accuracy


Human-in-the-loop Validation


Faster Turnaround Time

Team you can trust

We have 49+ Image, Video and Text Annotation experts. Our team is capable of a high quality and 99% annotation accuracy.

From Pixels to Insights: Expert Image Annotation Services

Bounding Box Annotation

Bounding Box Annotation: Powering Precision in AI

Refine your AI algorithms and elevate tech applications across industries with bounding box annotation. This technique precisely marks objects in visuals with metadata, boosting object detection accuracy and streamlining AI model training. From self-driving cars navigating roads to retail stores optimizing product searches, bounding box annotation empowers diverse applications.


Semantic Segmentation: Unveiling the Hidden Details

Semantic segmentation goes beyond object detection, enabling pixel-wise categorization for a deeper understanding of visual scenes. This empowers AI to discern and interpret intricate details, unlocking the ability to [an example: “segment road lanes for autonomous vehicles or identify specific organs in medical scans”]. With semantic segmentation, AI gains a richer perception of the world, transforming various fields.


Cuboid Annotation: Bridging the Gap to 3D Understanding

Cuboid annotation unlocks a new level of data analysis by adding a three-dimensional layer to image data. This empowers AI with a more realistic grasp of spatial contexts, capturing object depth and orientation for a richer understanding of the scene. Fueling applications like self-driving car perception or enhancing warehouse automation, cuboid annotation bridges the gap to a truly immersive data experience for AI.


Categorize images with precision using CapStone’s advanced classification services.

Tailored for AI excellence, we ensure your visual content is transformed into the fuel that drives AI innovation. Our meticulous classification process unlocks a deeper understanding of your visual content, empowering you to:

  • Train superior AI models with unmatched accuracy.
  • Optimize image search and retrieval systems.
  • Automate content categorization for efficient workflows.


Polygon Annotation: Capturing Every Curve for Flawless AI Perception

Polygon annotation goes beyond basic bounding boxes, meticulously mapping object contours for a nuanced understanding of intricate shapes in visuals.
This empowers AI with superior precision in tasks like [an example: “self-driving cars navigating around oddly shaped objects on the road”] or [another example: “medical imaging analysis of irregular anatomical structures”]. Unlike bounding boxes, polygons can conform to any shape, ensuring no detail is lost. Unlock the full potential of your complex visual data with CapStone’s polygon annotation expertise.


Polyline Annotation: Capturing Every Curve for Flawless AI Perception

Our annotators accurately trace shapes and paths with polylines along the visible edges of objects for AI applications in path detection, mapping, etc.


Key Point Annotation: Unlocking the Language of Movement

Key point annotation goes beyond simple object detection. It involves pinpointing critical landmarks on objects and figures, enabling AI to capture their essential features and dynamics with precision. Imagine AI systems that can recognize faces with unmatched accuracy [facial recognition systems] or animate characters with lifelike movement [animation in gaming and film]. This is the power of key point annotation. By identifying these key points, AI learns to “read” the language of movement, opening doors to revolutionary applications across various fields.


Object Detection to locate multiple objects

We identify and locate multiple objects within an image for AI applications requiring recognition of different items in scenes, in fields like surveillance and retail.

Our Image Annotation Process

Image annotation is the groundwork for training computer vision models to make sense of the visual world. It’s essentially the process of adding labels or descriptions to images, providing a machine learning model with the information it needs to learn and perform tasks. Here’s a breakdown of the image annotation process:

Select Image

Choose raw image(s) for annotation.


Mark objects/features in image using selected tool.

Check Quality

Review annotations for accuracy.

Export Annotations

Save annotated data for integration.

Integrate & Monitor

Incorporate data into ML pipeline for accuracy.

Image Annotation Solutions

Computer Vision

Computer vision solutions interpret images and videos, enabling automated object detection and analysis. Employ annotation services that transform visual data into actionable insights and optimize industrial operations.

NLP Solutions

NLP annotation solutions understand, process, and generate sentiment analysis. They also power customer support automation and content categorization in textual data for strategic decision-making.

Supercharge Your AI with High-Quality Data Labeling

Scalable Solutions

Never outgrow your data needs. We offer scalable solutions, seamlessly adjusting our team and technology to handle any volume or project type.

Quality Deliverables

Trustworthy data, every time. Our robust quality checks ensure 99.5% accuracy for your machine learning models.

Data Security

Data Security You Can Trust: We are committed to protecting your information with comprehensive security protocols.

24/7 Service

Follows the Sun Support: Our globally distributed team ensures around-the-clock availability for our international clients.

Industries and Verticals Expertise


Medical Data Annotation

In healthcare, data annotation translates medical records, images, and more into a format machines can understand for AI-powered analysis.


Supercharge your financial AI with precision.

AI-Powered Finance. Build smarter financial models with secure data annotation. Predict outcomes, personalize recommendations, and safeguard your data.

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Unlock the full potential of autonomous vehicles.

Revolutionize in-vehicle AI. We provide training data for self-driving cars, improve speech recognition, and optimize navigation through high-fidelity field testing.

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Enhanced Customer Experience

The secret weapon of e-commerce AI: Data annotation. It personalizes recommendations, streamlines searches, and fuels a winning customer experience.


Smart Approach to Data Annotation for Integrating AI in Agriculture

Revolutionize your farm with AI. Our data annotation empowers advanced crop analysis, leading to optimized yields, improved quality, and automated insights.

Read more…


Annotate location data to power AI and ML models

Precision for your location-based AI. We offer custom geospatial data annotation to supercharge your AI and ML applications.

Read more…

FAQs for Image Annotation

What is the difference between image labeling and image annotation?

Image labeling and image annotation are often used interchangeably, but there’s a subtle difference. Image labeling typically involves assigning a single label or tag to an entire image, categorizing it based on its content. On the other hand, image annotation is a more detailed process, involving the addition of metadata, bounding boxes, keypoints, or segmentation masks to highlight specific objects or features within an image, providing more granular information for machine learning algorithms to interpret.

What are annotation services?

Annotation services encompass the process of adding descriptive information or labels to data, particularly in visual formats like images or videos. These annotations aid in categorizing, identifying, or analyzing the content by machines. Common tasks within annotation services include object detection, image segmentation, and classification. Such services are integral for training machine learning models across diverse domains such as autonomous vehicles, healthcare, and retail.

What are image annotation services?

Image annotation services involve the process of adding metadata or labels to images, enhancing their interpretability and usefulness for machine learning algorithms. These annotations can include bounding boxes, polygons, keypoints, or semantic segmentation masks, depending on the specific requirements of the project. Image annotation services are essential for training computer vision models in various applications such as object detection, image classification, facial recognition, and autonomous driving.

Why should I outsource image annotation?

Outsourcing image annotation offers several advantages, including cost-effectiveness, scalability, and access to specialized expertise. By leveraging the services of experienced annotation providers, businesses can streamline their workflows, accelerate project timelines, and ensure high-quality annotations that meet specific project requirements. Outsourcing also allows organizations to focus on core competencies while benefiting from the efficiency and accuracy of dedicated annotation teams.

What is the typical pricing for image annotation services?

The pricing for image annotation services varies based on factors such as complexity, volume, and annotation type. Typically, providers offer pricing models based on per-image, per-hour, or per-project rates. Prices may range from a few cents to several dollars per image, depending on the intricacy of annotations required. Some providers also offer customized pricing plans tailored to specific client needs and budget constraints.

What is the accuracy rate you guarantee?

We strive to maintain a high accuracy rate in our image annotation services, typically guaranteeing accuracy rates of 95% or higher. However, the exact accuracy rate may vary depending on the complexity of the task, annotation type, and quality of input data. We employ rigorous quality assurance measures, including human validation and quality checks, to ensure precise and reliable annotations for our clients.

How do you ensure data security and privacy?

Ensuring data security and privacy is paramount in our image annotation services. We implement robust measures such as encryption protocols, restricted access controls, and secure data transfer mechanisms to safeguard sensitive information. Additionally, our team undergoes regular training on data handling best practices and adheres to strict confidentiality agreements to maintain the integrity and confidentiality of our clients’ data throughout the annotation process.

What tools and platforms do you use for image annotation?

We leverage a variety of industry-leading tools and platforms for image annotation, tailored to suit specific project requirements. This includes popular annotation tools like LabelImg, CVAT, and VGG Image Annotator, along with custom-built annotation platforms equipped with advanced features for efficient annotation workflows. Our selection ensures accuracy, scalability, and compatibility with diverse annotation tasks across different domains and project complexities.

Image Annotation Insights

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    Unlock the Potential of AI and Enhance Your Content

    Just fill in the form, and let our experts handle the rest. Here’s what will happen next:

    • Chose raw image(s) or video(s) or text for annotation
    • Mark objects/features in image/video using selected tool.
    • Review annotations for accuracy.
    • Save annotated data for integration.
    • Incorporate data into ML pipeline for accuracy.