Image Annotation Services
Image annotation services help label images needed for the training of AI models.
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
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/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 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, 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 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.
Key point Annotation
Image Classification
Lidar Annotation
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
Accuracy is king, and we are its subjects. We assure our clients nothing short of 99% accuracy.
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
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
autonomous vehicles
healthcare
retail & e-commerce
Operations and Chain Supply
agriculture
drone & Satellite imagery
security
geospatial technology
insurance
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.
1000+
Trained Experts
95%+
Accuracy
50+
Happy Clients
450+
Successful Projects
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
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.