Bounding Box Annotation Services

Bounding Boxes are the most basic technique used to annotate images and videos, commonly used to train autonomous vehicles for detecting objects like traffic poles, pedestrians, other vehicles, etc. 

Bounding box annotation

What Is Bounding Box Annotation?

Bounding box annotation is drawing a rectangular box around an object of interest to specify the spatial position of the said item in an image. The bounding box’s size depends on the annotation image’s length and width. The x and y coordinates are determined by the annotation object’s lower-right corner and upper-right-hand corner. The edges of the bounding box should touch these corners but not cut any part of the object.

Bounding box annotation is drawing a rectangular box around an object of interest to specify the spatial position of the said item in an image. The bounding box’s size depends on the annotation image’s length and width. The x and y coordinates are determined by the annotation object’s lower-right corner and upper-right-hand corner. The edges of the bounding box should touch these corners but not cut any part of the object.

OBJECT DETECTION FOR SELF-DRIVING CARS

Object detection For Self-driving cars

Self-driving cars need to learn how to detect and recognize various objects in their environment to navigate around. Object detection is, therefore, at the heart of their operation. Bounding box annotated images are used to train the machine learning algorithms used by autonomous vehicles to detect different objects, including pedestrians, other vehicles, potholes, traffic lights and other objects.

Bounding box data labelling is used to train autonomous vehicles object localization. That allows them to identify each target object in their environment correctly. That is useful for ensuring proper response in the real-world driving environment.

Automatic tagging For Retail & E-commerce

In retail shops and e-commerce, customer convenience is very important. Shoppers want to easily find what they are looking for and pay for the item without waiting long. Using bounding box annotations, retail image visual perception models can be trained to detect the items a customer picks automatically. That can then be used for automatic tagging, where the computer vision model automatically tags items into different categories, such as fashion accessories, furniture etc.

AUTOMATIC TAGGING FOR RETAIL & E-COMMERCE

and makes visible to the customer more items from these categories. The perception models can also detect the items picked by a customer from different shelves and generate automatic billing without waiting for human cashiers, thus improving customer convenience.

DAMAGE DETECTION FOR INSURANCE CLAIMS

Damage detection For Insurance claims

The car insurance industry’s bogus and fraudulent claims pose a significant challenge. Without a proper mechanism to assess and certify the specific area and scope of damage on a vehicle, claimants can collude with insurance agents to get paid for unexisting damages.
Insurance companies can use bounding boxes to train computer vision models to identify damaged vehicles, including the area of damage. Combined with deep learning, the models can then identify, certify and estimate the level of damage, helping the insurance companies weed out fraudulent claims.

Your Go-To Solution For Bounding Box Annotation Services

At Annotation Box, we specialize in Object detection through image and video annotation. Our annotation experts have a unique experience with most of the advanced bounding box annotation tools and techniques, enabling them to label images precisely. We commit to providing high-quality video and image annotation solutions to create high-quality training data for your ML and AI projects.

Global Presence

Global Presence

Our team is distributed worldwide, allowing us to respond effectively to the regional needs of our clients. With offices in the US and India and a diverse team of over 1500 people globally, we are ready to work with you regardless of location.

INDUSTRY-SPECIFIC SOLUTIONS

Industry-specific solutions

Our experts have experience working on annotation projects across the board. We have successfully delivered high-quality training datasets for global B2C and B2B annotations projects.

99% high accuracy

95% Accuracy

We are a leader in the annotation industry for offering high-quality machine learning and AI training datasets. We commit to delivering high-precision bounding box annotations with a guaranteed accuracy of not less than 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 Bounding Box Annotation Services

At Annotation Box, our annotation experts will help you create high-quality datasets to suit your project needs. We will work on any data annotation project, including image tagging, data labeling and image annotation, guaranteeing the success of your object detection AI/ML model. We also carry out professional bounding box image annotation for satellite imagery, autonomous vehicle training, and healthcare AI training. Our highly-trained professional annotators are on standby to deliver high-quality datasets. Get in touch with one of 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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