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Image Annotation Services

We label digital images for training your computer vision algorithms. There are three critical elements to our image annotation process; firstly, labeling objects in images, secondly, identifying features in images, and thirdly, outlining the boundaries of objects.

Image annotation can be used for a range of tasks which include detecting objects, segmenting pictures, and categorizing them.

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Abode Image Annotation Services

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Bounding Boxes

It is the most commonly used type of image annotation in computer vision. Abode computer vision experts use rectangular box annotation to illustrate objects and train data, enabling algorithms with annotated images to identify and localize objects during the machine learning process. The simplicity of bounding boxes is exactly their strength, making this method of image annotation applicable for a wide range of uses.

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Polygon Annotation

Expert annotators plot points on each vertex of the target object. Polygon annotation allows all of the object’s exact edges to be annotated, regardless of shape. This allows computer vision and other artificial intelligence models to recognize and respond to objects. This technique is especially useful in computer vision as annotators can use it to identify irregular shapes, allowing computers to identify and respond to them.

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Semantic Segmentation

Images are segmented into component parts, by the Abode team, and then annotated. Abode computer vision experts detect desired objects within images at the pixel level. With expert semantic segmentation, data can be organized in multiple formats for AI models across a variety of use cases.

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LiDAR Annotation

Abode teams label images and videos in 360-degree visibility, captured by multi-sensor cameras, in order to build accurate, high-quality, ground truth datasets for use in computer vision models such as autonomous vehicles.

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Image Classification

Abode annotators classify images or objects within images based on custom multi-level taxonomies, including land use, crops, residential property features, among others. Expert image classification turns image data into image insights for AI and ML models.

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3d cuboid annotation

Through the use of cuboids, Abode annotators can generate training datasets to teach machine learning models to recognize the depth of objects. Expert data labeling creates best-in-class training datasets for computer vision models to detect object and obstacle dimensions. Through the use of anchor points typically placed at the edges of an item, these dots are then connected with a line that results in a 3D representation of the object.

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Keypoint annotation

Abode teams outline objects and shape variations by connecting individual points across objects. This annotation type detects body features and could include facial expressions and emotions. Popular use cases for keypoint annotation involve facial recognition.

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Polyline annotation

Abode experts create training datasets using polyline annotation that teach a machine learning model to identify physical boundaries to operate within. Popular use cases include autonomous vehicles and teaching them road boundaries.

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Rapid annotation

Abode image annotation platform utilizes image interpolation to rapidly annotate suitable files including JPG, PNG, and even CSV. Abode annotation experts create best-in-class video training datasets in rapid time for any AI or ML project. Give your data science team the expert service they need to take their project from idea to production.

Image Annotation Tools

2D Bounding Boxes

It is used to define objects in a two-dimensional space through graphical representations. It is generally used in computer vision and machine learning applications for classifying objects in pictures and videos.

3D Cuboid Annotation

This technique is used for detecting and recognizing 3D objects within images. It assists machines in figuring out the depth of objects including vehicles, people, buildings, etc.

Skeletal Annotation

It is used for highlighting body movement and alignment. It is used for identifying and annotating key skeletal features in images for producing large datasets to train medical diagnostics for AI models.

Polygon Annotation

It is used to draw precise contours in polygon shapes over the products for identifying and localizing videos and images. This technique is great for annotating complicated and non-linear shapes and objects for image segmentation or object detection tasks.

Semantic Segmentation

This technique is used for segmenting images in computer vision. An image dataset is semantically segmented to locate all categories and classes.

3D Point Cloud Annotation

It provides an opportunity to detect and classify objects in greater detail so that dimensions can be accurately measured. One can readily match 3D Point Cloud data to camera images for labeling various kinds of objects.

Case Studies

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Image Annotation

Adobe Data's image annotation services help create training datasets for a smart parking application.

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Image Annotation Services for Different Industries and Use Cases

Our image annotation company can label a variety of images, based on your specific use case or industry needs, including but not limited to:

Security & Surveillance

Allows security cameras to accurately identify people & objects in the images for threat detection and investigation.

Healthcare

Allows the detection of diseases & anomalies in medical imaging data (X-rays, CT scans, MRI, or ultrasound).

eCommerce & Retail

Enhances product search & discovery, improving visual search capabilities & enabling personalized recommendations.

Autonomous Technology & Transportation

Image annotation services can help in the deployment of autonomous technology through labeling of images of a car’s environment.

Agriculture

Helps farmers to analyze soil conditions, diagnose crop diseases, and monitor the health & growth of plants.

Drones

Enable drones to identify. map, and follow objects of their interest in aerial images, such as people, animals, buildings, etc

Image Annotation Workflow

Analyzing Requirements

On receiving a service query, our annotation experts understand the clients’ annotation requirements and define the scope of work.

Preparing Image Dataset

We receive image datasets from clients and prepare them for annotation. We weed out irrelevant, blurred, or obscured images from the dataset.

Specifying Objects

Once the image dataset is ready, we specify different objects and elements in the images that need to be annotated.

Assigning Image Labels

We assign labels/tags to images, following different image annotation techniques- bounding boxes, keypoint, lines & splines, etc.

Exporting Images & Quality Checking

After labeling the images precisely, we export the images. Further, this data goes through multiple quality checks to ensure high accuracy has been maintained in the labeling process.

Delivering Project

After thoroughly checking the annotated dataset, our image labeling company delivers the final output to the clients in the specified format (ideal for training datasets).

What Our Customers Say

We were very satisfied with the quality of service abode enterprise provided. They were able to meet our requests with great professionalism and flexibility. We look forward to having your team fulfill future projects for us.

Robert Armstrong

CEO

Your team has been doing an excellent job in handling multi-tasks, prioritizing tasks effectively, and delivering work in a turnaround time. Keep up the great work. I understand that certain tasks may involve specific procedures that can be confusing. However, thank you for your open-mindedness and resilience.

Fred Thomson

Chief Product Officer

After dealing with a few unreliable outsourcing vendors in the past, working with this company was a breathe of fresh air. Their team proactively communicated and ensured the project stayed on track. The end goals were also met without hassles. Overall great work

Samantha Moore

Marketing Director

Working with Abode team has been a great experience. They quickly learned our line of business, adapted to our requirements and have consistently performed well. They’ve also gone above and beyond for us.

Martina Keller

Founder and CEO

We were very satisfied with the quality of service abode services provided. They were able to fulfil our requests with great professionalism and flexibility. They’ve saved us a great deal of money and time.

Matthew

VP Sales

FAQ for Image Annotation Services

What types of image annotation services do you offer?

We offer a wide range of annotation services, including:

  • Bounding Boxes: Rectangular boxes around objects.
  • Semantic Segmentation: Labeling every pixel of an image.
  • Polygon Annotation: Precise outlines for irregularly shaped objects.
  • Key Point Annotation: Specific points like facial landmarks or skeletal features.
  • 3D Cuboids: Annotating objects in 3D space.
  • Text and OCR Annotations: Annotating text regions in images.
What industries benefit from your image annotation services?

Our services cater to various industries, including:

  • Autonomous Vehicles: Training models for object detection and navigation.
  • Healthcare: Annotating medical images like X-rays and MRIs.
  • Retail and E-commerce: Labeling products for visual search and recommendation systems.
  • Agriculture: Annotating satellite or drone images for crop monitoring.
  • Security and Surveillance: Identifying threats or unusual activities in real-time.
What tools and technologies do you use for annotation?

We use advanced annotation platforms and tools that support various annotation formats and workflows. Our tools include cloud-based platforms, in-house custom tools, and AI-assisted features for efficiency and accuracy.

How do you ensure annotation quality?

We maintain high-quality standards through:

  • Expert Annotators: Skilled professionals trained in annotation best practices.
  • Quality Assurance: Multi-level review processes to ensure consistency and accuracy.
  • Automated Checks: Tools to validate annotations and flag inconsistencies.
  • Guidelines: Strict annotation rules tailored to project needs.
Can you handle large-scale annotation projects?

Yes, we are equipped to manage large-scale projects with a scalable workforce, robust tools, and optimized workflows. We ensure timely delivery without compromising quality, even for high-volume datasets.

Do you offer a sample or trial before starting the project?

Yes, we offer trial services or sample annotations to demonstrate our quality and approach. This helps clients assess our capabilities before committing to a larger project.

How much do your image annotation services cost?

Our pricing depends on factors such as annotation type, dataset size, and complexity. We offer flexible pricing models, including per-image, per-hour, or project-based rates. Contact us for a customized quote.