Image Annotation Services

Image annotation services help label images needed for the training of AI models.

Image Annotation Services

What Is Image Annotation?

Image annotation is the process by which images are labeled, tagged or annotation added to make it easy to train machine learning models. The image annotation process involves identifying data of interest in the annotation picture and then applying different image annotation techniques to mark it to make it easily recognizable by the AI model.
The purpose of annotating images is to make it possible for the ML model to identify the information of interest in an annotated picture without human input. Depending on project needs, image annotation could be simple or complex.

Different Types Of Image Annotation Techniques

AI and ML models are as good as the training data used to train them. That makes it essential to have training data that is annotated accurately. Depending on the ML/AI model’s intended end use, annotation images must be annotated using different techniques. Our annotation experts can help you achieve your desired results with accurately annotated images regardless of the data annotation technique.

2D Bounding box

2D Bounding Box

It is a commonly used data annotation technique where an annotator draws a box around the annotation picture to resemble bounding the object of interest inside the box. The bounding box is tight and should be drawn along the edges of the target object without cutting out any parts of the object. A 2D bounding provides information about the length and width of the objects of interest. The annotation technique is used for objects that are relatively symmetrical and when the AI training data needed has little focus on the shape of the detection object.

Polygon Annotation

Polygon/Contour Annotation

This annotation technique involves marking the vertices of the target object with points and then joining these points to create an annotation along the object’s exact edges, thus reproducing the precise shape of the target object. It is used when annotating images where the object’s shape is important, especially for irregular objects such as vegetation and houses. With polygon annotation, a machine learning model is trained to detect, identify and differentiate between objects based on their shape variations.

Semantic Segmentation

Semantic Segmentation

Semantic segmentation works at the pixel level. It includes pixel-wise annotation of the target objects in an image and associating each marked pixel with a predetermined label, class, or category. The class labels assigned to each annotated image represent real-world objects. All objects of a particular type are given the same class and a different color. This image annotation technique is handy in dense detection, where computer vision models must distinguish between different objects in an image with multiple objects.

3D Cuboid Annotation

3D Cuboid Annotation

3D Cuboid annotation, unlike 2D, goes further by adding the depth of an object in a given image. That creates a 3D perception of the natural world, making objects more perceptible by computer vision models. 3D cuboid annotation is useful when training computer vision algorithms to understand the depth of individual objects such as houses, cars, persons, etc.

Polyline Annotatipn

Polyline Annotation

Polyline annotation is an image annotation technique widely implemented in creating training datasets for autonomous vehicles. It involves plotting one or more continuous line segments on an image of interest. It is used with open-shape images such as roads, sidewalks, or power lines to train autonomous vehicles to identify road lanes and other surrounding features along the road. In computer vision, they are used to train drones to avoid power lines.

Keypoint Annotation

Key point Annotation

Key point annotation is used to plot characteristics in the data to help train computer vision models to detect particular features of interest. It involves placing points on the key points of interest, such as eyes and ears. Key point annotation helps detect specific features, such as those needed in facial recognition to detect facial features, expressions, and emotions. It is also implemented in computer vision and object detection in sports to detect body position relative to other objects.
Image classification

Image Classification

Image classification is the process through which AI models can analyze and assign correct labels to an image. It is also the process through which human annotators add labels to images to make them easily understandable to machines. The labels provide a level of detail that makes it possible for machines to identify and classify different objects quickly. Image classification is implemented in autonomous vehicles that need to detect and classify the various objects in their environment.
Lidar Annotation

Lidar Annotation

Lidar annotation uses a 3D laser to scan the environment and identify objects. Thousands of infrared light pulses are sent into the environment, and the car’s photodetectors record the reflection time. The reflection time determines the proximity to the object. The method allows the vehicle to navigate its environment with high accuracy and reliability. Let our team of experts work on your annotation project, and you are guaranteed high-accuracy annotations for your 360-degree images.

Image annotation services for Machine learning & Computer vision models With Pixel Perfection

The success of an AI model depends on the quality of the AI training data. Poorly annotated image data results in an inaccurate ML model.
Here at Annotation Box, we provide high-quality image annotation services that are bespoke to the needs of your annotation project.

99% high accuracy-01

99% high accuracy

Accuracy is king, and we are its subjects. We assure our clients nothing short of 99% accuracy.

cost-effective pricing-01

cost-effective pricing

We provide competitive prices customized to offer value for your money. Our prices are diverse depending on your annotation project needs.

data security-01

data security

We guarantee that any data shared with us remains with us. We leave no room for data leaks, and all our experts sign NDAs to keep your data safe.

Image Annotation Use Cases Across Various Industries

Image annotation is used to create training data for AI in different fields. Using annotated images, AI/ML and computer vision models are trained to identify objects in the real world and make critical decisions.
AUTONOMOUS VEHICLES

autonomous vehicles

Autonomous vehicles rely on object detection to navigate the environment. That means they must be trained to identify varied objects in their environment. Annotated images are used to create an image dataset that is then used to train the vehicle’s computer vision algorithms to identify and distinguish between different objects.
Healthcare

healthcare

Image annotation is used in the medical field to develop and train medical AI algorithms to detect and identify anomalies in the body. With image annotation, medical AI is trained to identify between, for instance, normal and cancerous cells or to distinguish between a normal bone and a fractured bone.
retail & e-commerce

retail & e-commerce

Retail and e-commerce sectors are applying image annotation to help customers find items easily and make recommendations. Through image annotation, AI can classify similar objects together, making it easy for users to find them when browsing. It also allows users to search for objects using images by detecting images identical to the search item and displaying the results to the clients.
OPERATIONS AND CHAIN SUPPLY

Operations and Chain Supply

Companies are using image annotation to optimize operations along the supply chain lines. AI algorithms are increasingly used to detect the level of materials or resources in supply chain hubs. That allows companies to make timely decisions, thus improving the efficiency of the supply chains.
AGRICULTURE

agriculture

Image annotation plays a significant role in agriculture. Annotated images train computer vision models to identify and categorize crop conditions. For instance, with annotated images, drones are trained to detect unhealthy crops, while agricultural robots are trained to carry out autonomous harvesting of fruits.
DRONE & SATELLITE IMAGERY

drone & Satellite imagery

Image annotation is actively used to train AI models to interpret images captured by drones and satellites. Machine learning models are trained to analyze the captured images and provide insight using different image annotation techniques, such as segmentation. They are also trained to detect foreign objects, such as in border images where illegal immigration can be monitored using satellite imagery.
SECURITY

security

Security is one of the main applications of image annotation. Computer vision models are trained using annotated datasets to identify different human actions in specific settings. In particular, computer vision, aiding in facial recognition, has become a mainstay in security to identify criminals and provide round-the-clock security in high-security environments.
GEOSPATIAL TECHNOLOGY

geospatial technology

Resource planning is an important activity in any country. Geospatial technology allows stakeholders to identify and map resources. With the help of image annotation, ML models are trained to interpret geospatial images and maps and make inferences helpful to decision-makers. For instance, AI can analyze patterns not identifiable by human eyes.
INSURANCE

insurance

Insurance companies are actively using image annotation to train ML models to weed out bogus claims. That is achieved by training the model to spot claim inconsistencies, including identifying fake accidents. With this technology, insurance companies can cut the number of fraudulent claims often resulting from staged incidents.

Why Choose Us?

At Annotation Box, we value the goals and vision encompassed by each annotation project. We strive to provide holistic and accurate data annotation services bespoke to the client’s requirements. We ensure constant communication and provide working suggestions where necessary.

500+ Employees-01

1000+

Trained Experts

9+ Accuracy-01

95%+

Accuracy

50+ happy clients-01

50+

Happy Clients

450+successful project-01

450+

Successful Projects

Get Us Onboard For Image Annotation Services

Get Us Onboard For Image Annotation Services

At Annotation Box, we assure you of a fast turnaround, a team environment, and exceptional communication throughout the annotation project.

How We Work

Get your data annotated in just 5 simple steps.

step

STEP : 1

 Project Assessment

Upon receiving the inquiry we assign experts to understand your project requirements. After in-depth research by our experts and assessing your requirements, we deploy the best data annotation solution for you.

step

STEP : 2

Sample Data Labeling

One of the finest translation agencies I have come across lately. The friendly experts know what is required and deliver better than expected. They were receiving all my calls during the process. The best part is they are affordable.

step

STEP : 3

Training

Once you’re satisfied with our sample. We deploy a training module for the team to impart an in-depth understanding of the project.
Our Quality analyst keeps checking for the desired quality output with our annotators.

step

STEP : 4

Production

Our dedicated project manager will oversee the team and monitor them constantly to ensure the annotators are meeting the desired output quality set initially and completing the project on time. Annotation Box puts accuracy first and foremost.

step

STEP : 5

Evaluation

We believe in transparency and high-quality data annotation. Through our continuous feedback cycle, we make sure the annotation is done correctly. Our flexible workforce enables us to scale up production at any time.

RIVEW

STEP : 1

 Project Assessment

Upon receiving the inquiry we assign experts to understand your project requirements.

After in-depth research by our experts and assessing your requirements, we deploy the best data annotation solution for you.

step

STEP : 2

Sample Data Labeling

One of the finest translation agencies I have come across lately. The friendly experts know what is required and deliver better than expected.They were receiving all my calls during the process. The best part is they are affordable.

step

STEP : 3

Training

Once you’re satisfied with our sample. We deploy a training module for the team to impart an in-depth understanding of the project.Our Quality analyst keeps checking for the desired quality output with our annotators.

step

STEP : 4

Production

Our dedicated project manager will oversee the team and monitor them constantly to ensure the annotators are meeting the desired output quality set initially and completing the project on time. Annotation Box puts accuracy first and foremost.

step

STEP : 5

Evaluation

We believe in transparency and high-quality data annotation. Through our continuous feedback cycle, we make sure the annotation is done correctly. Our flexible workforce enables us to scale up production at any time.

Image Annotation Services – FAQs

How do I choose an image annotation services provider for my Annotation Project?

Selecting your image annotation service provider can make or break your annotation project. Ensure that you outsource to a company that fully comprehends your project needs, has a proven track of delivering, and is within your budget.

Do i need to provide my annotation tools?

Using generic or bespoke annotation tools depends on the project’s needs. Some annotation services may offer their image annotation tool, while others may ask the client to offer or recommend their preferred tool. Consider your project and decide whether using off-the-shelf tools will impact the project’s outcome.

How much SHOULD THE IMAGE annotation services Cost?

There is no definite answer regarding how much an image annotation project should cost. Prices vary based on numerous factors, including the annotation technique, delivery period, volume of data to annotate, and the human workforce needed. Therefore it is imperative to work with an outsourcing company that is flexible in its pricing.

Is my data Safe WITH DATA annotation services?

Data security is critical. Ensure that your outsourcing company has robust measures to keep your data safe and private.

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