Polygon Annotation Services

Computer vision models use polygon annotation to detect irregular shaped objects accurately with pixel-level precision.

What Is Polygon Annotation?

Polygon annotation is an annotation technique that involves plotting x and y points along the edges of the annotation object and then joining the plotted points to capture the exact outline of the target object. Polygon annotation is useful in annotating irregular shapes where the object’s shape is of significance in object detection.

Polygon annotation captures the exact shape of the objects, including polygonal shapes, without leaving any whitespaces inside the annotation. 

That reduces the noise, allowing the computer vision models to detect irregular shapes in the real world accurately. This annotation technique is used across most industries to map complex shapes, such as in mapping rooftops in urban development and where other annotation tools are ineffective.

Aerial Object Localization For Drones & Satellite imagery<br />

Aerial Object Localization For Drones & Satellite imagery

Not all annotation tools like bounding boxes can accurately capture the contour of an object precisely without adding excess pixels. 

With polygon image annotation, the exact shape of a coarse object can be plotted to provide accurate training data for computer vision models. That is useful in applications such as aerial object localization drones and satellite imagery, where the recognition models must be trained to precisely recognize and map target objects’ shapes.

These can then be used to detect, map and localize objects such as rooftops, trees or swimming pools with high precision.

Polygon Annotation For Semantic and Instance segmentation

Instance and semantic segmentation require only the target object’s pixels are annotated. That is possible with polygonal annotation as it captures the exact outline of the annotation object with precision and without any irrelevant pixels included.

The possible pixel-perfect labelling capability with polygonal annotation helps create high-accuracy machine learning models used in autonomous vehicles for object detection in the real world. These models can accurately distinguish between actual objects and environmental noise, giving self-driving cars high-level situational awareness in real-world scenarios.

Polygon Annotation For Semantic and Instance segmentation<br />
Polygon Annotation For Semantic and Instance segmentation<br />

Polygon Annotation For Semantic and Instance segmentation

Instance and semantic segmentation require only the target object’s pixels are annotated. That is possible with polygonal annotation as it captures the exact outline of the annotation object with precision and without any irrelevant pixels included.

The possible pixel-perfect labelling capability with polygonal annotation helps create high-accuracy machine learning models used in autonomous vehicles for object detection in the real world. These models can accurately distinguish between actual objects and environmental noise, giving self-driving cars high-level situational awareness in real-world scenarios.

Polygon Annotation For Pattern Recognition in Agriculture Industry<br />

Polygon Annotation For Pattern Recognition in Agriculture Industry

Artificial intelligence’s implementation in agriculture increases yields, combating crop losses and contributes to improving global food security. At the heart of this is polygon annotation that allows the accurate detection of crop patterns and behavioral changes of livestock in the field. For instance, with polygon image annotation, machine learning models are trained to identify crop rows, essential features in crops or activities of animals in the field.

Combined with computer vision, these are then used to carry out aerial crop monitoring, aerial spraying, or livestock monitoring which significantly improve the efficiency of modern farming techniques.

Your Go-To Solution For Polygon Annotation Services

Annotation Box is your go-to solution for all your polygon annotation projects. Our expert data annotators have over five years of experience working. They can work with any polygon annotation tool and deliver highly accurate training datasets. We have a reputation for working closely with our clients to achieve success in their projects.

Global Presence

Global Presence

We are committed to working with clients from all over the world. No matter where you are, we at Annotation Box will work with you to deliver the well-annotated, accurate datasets needed for your project. Talk to one of our experts today to get started with our polygon annotation services.

INDUSTRY-SPECIFIC SOLUTIONS

Industry-specific solutions

Regardless of your project needs, our experts at Annotation Box will deliver. Our polygon data annotation experts can plot vertices on simple and complex images to produce high-quality annotations that suit your project needs.

99% high accuracy

95% Accuracy

Our in-house quality assurance ensures that each annotation is done as per the project’s instructions. We commit to delivering nothing short of high-accurate datasets with a guaranteed accuracy above 95%.

Why Choose Us?

At Annotation Box, we maintain the highest regard for clients’ goals and dreams in any project. We strive to deliver high-quality annotation services, offering technical help where necessary and providing a conducive team environment to achieve the project objectives.

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

Learn How We Can Help You Train Your AI & ML Models With Our Professional Polygon Annotation Services

At Annotation Box, we provide industry-leading polygon annotation services for any of your project needs. Our expert annotators can create datasets to train your model for use in areas including posture detection in sports analytics, road sign boards for autonomous vehicle navigation, aerial object mapping for drones, and satellite imagery. 

We also offer high-quality datasets for training your computer vision, machine learning and AI-based models. With our training datasets, your model’s accuracy is guaranteed. If you want accurate outcomes from your model, get in touch with our experts today to get started.

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

After deploying data annotation solution. We begin our work. The first step is to ask for your samples. Once we receive your samples, we run sample data labeling. We label the samples and send you back for your review.

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.

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