Services

Image Annotation Services

SBL delivers high-quality image annotation services that power AI and ML. From labeling entire images to annotating individual groups of pixels, we successfully generate ground truth datasets to successfully train your machine models.

segmentation and annotation

Accurate Image Annotation for Enhanced Visual Intelligence

Image annotation is the process of categorizing all the elements of an image by adding metadata to them. It helps simplify the process of training machine learning models to perform computer vision tasks like object detection and image classification. It enhances the efficiency of AI systems used to build self-driving cars, improve diagnostic processes, and more.

However, image annotation is riddled with challenges. The biggest challenge is its human-intensive nature, which makes the process time-consuming, error-prone, and expensive. Likewise, ensuring quality across large datasets is a big challenge.

At SBL, we have over 18 years of expertise and exposure in handling and overcoming all challenges associated with image annotation services.

Evolving Annotation: From Human-Driven to Self-Learning AI

Evolving Annotation: From Human-Driven to Self-Learning AI

Understand annotation and how it would contribute to fine tuning the self learning AI solutions.

We bank on custom workflows and proper annotator training to parse the nuances of image data and provide accurate interpretations of image elements. We have a consistent track record of generating high-quality image annotation datasets for optimal machine learning functionality.

Fuel Your AI/ML Models with Our Expert Image Annotation Services

We bank on a number techniques to deliver comprehensive image annotation services. Each of these techniques is further tailored to meet your specific needs.

 Bounding Box Annotation

Bounding Box Annotation

This is one of the most commonly used technique to illustrate objects and train data. We deploy this technique to draw boxes around target elements within an image to indicate its position and size. We take care to ensure pixel-perfect tightness, maintain consistency in box size variations, and reduce overlaps, so that the quality of the box annotation is accurate and reliable.

Polygon Annotation

This technique is deployed to outline elements in an image that cannot be represented in rectangular form. Such complex forms, like animals are vehicles, are represented by drawing a collection of coordinates to form a polygonal shape. Our experts bank on deep polygon annotation knowledge acquired through diverse exposure to bring about a high level of precision to client needs.

Semantic Segmentation

Semantic segmentation involves assigning a label to every single pixel of an image. It involves clustering together image parts that belong to the same object class. The process helps ML models have a pixel-level understanding of every scene and contextualize the scene in more precise ways. Our annotators help in the precise labeling of pixel boundaries, maintain class balance, and deploy different evaluation metrics to improve segmentation accuracy.
Keypoint Annotation

Keypoint Annotation

Keypoint annotation helps in data labeling that identifies and delineates important features of objects in images or videos. It is with the help of these exact features that machine learning models can recognize and learn about objects such as facial landmarks, body joints, etc. Our annotators have experience in annotating keypoints for motion analysis, 3D modeling and animation, medical imaging, etc. They implement clear keypoint annotation guidelines and quality controls to make keypoint annotation very precise.
Instance Segmentation

Instance Segmentation

Instance segmentation is very much like semantic segmentation, but it distinguishes between different objects of the same class. This helps AI models identify same class objects more sharply. Our annotators have great expertise in instance segmentation. They take meticulous care to delineate object boundaries and avoid overlapping, maintain uniformity in defining each object class, and ensure accuracy in tracking objects across frames.
Polyline Annotation

Polyline Annotation

We use polyline annotation to label linear surfaces and separate different pathways, target zones, crop rows, roads, lanes etc. Our annotators guarantee complete accuracy in labeling linear surfaces by implementing best polyline annotation practices such as placing vertex consistently, minimizing vertex count, positioning vertices strategically to ensure smoothness and carrying out thorough quality checks.

The Benefits of Partnering with SBL for Image Annotation Services Diversity in Annotations

Industry Specific Solutions
Domain experts from various industries

We provide tailored image annotation services across various industries, including healthcare, automotive, retail, and agriculture. Our specialized solutions enhance AI and ML model accuracy and assure high-quality annotations for sector-specific needs.

Highly Experienced & Scalable Team
Trained professional annotators

Our team of global annotators are highly trained Image annotation professionals. We select the right professionals with exposure to your project needs and assign them to deliver your needs within agreed-upon timelines.

ISO 27001 & privacy compliant Services
Secured facilities with complete supervision

We prioritize data security and privacy of client data. Our annotation processes comply with ISO 27001 standards, and we employ diverse robust security measures such as encryption, access controls, and regular audits to guarantee utmost confidentiality.

Accurate & Unbiased Annotation Support
Reduced bias in results

Our diverse global workforce brings a range of perspectives to the annotation process. As a result, we reduce the risk of bias in your training data. We combine this approach with rigorous quality control measures to ensure the accuracy and reliability of every image annotation output.

Schedule a 30-minute Consultation Today

Discuss your image annotation needs with our experts and discover how we can transform your visual data into actionable intelligence.

Our Annotation & Labeling Workflow

At SBL, we follow a precise and collaborative approach to guarantee top-quality annotations for your machine learning projects. Our workflow consists of the following steps:

We start by gathering requirements to understand the scope of the project. Based on this understanding, we define objectives and schedule deadlines.

We clean and structure the data (remove duplicates and errors) to make it more consistent for effective analysis.

To streamline the task of annotators we develop detailed guidelines outlining the rules and criteria, and providing supporting examples.

We train our annotators on the guidelines to equip them with the necessary understanding of project needs and set realistic expectations.

After completion of the training, we assign the project to the annotators, closely monitoring the process and providing expert reviews.

Once the annotation is complete to our satisfaction, we deliver the annotated data in the desired format and perform a post-project analysis.

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Satisfied Clients
Accurate Annotation
Customer Portfolios Optimized

Our process is designed to guarantee 99.5% accuracy in image annotation; rest assured of feeding your machine learning models with highly reliable data.

Faster Time-to-Market
Customers Benefit from AI-Enhanced Data

Our efficient and scalable workflows will assist you fastrack your project and give you at least 20% faster time to market.

Reduced Annotation Costs
Annual Savings Through Digital Transformation

Our well-defined processes, custom workflows, and best practices guarantee up to 30% reduction in image annotation costs. 

Improved Model Performance
Quicker Real-Time Visual Data Processing

We have a proven track record of delivering annotated data that will improve model performance by up to 10x.

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