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Image Annotation Services

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Unlock the full potential of your AI/ML models with our high-quality 2D and 3D image annotation services.

At NextWealth, we specialize in delivering precise, accurate annotations that enhance machine learning algorithms, driving smarter decision-making and improved performance. Our human-in-the-loop approach ensures the highest level of accuracy and contextual understanding, making your computer vision models more reliable and efficient. Whether it’s object detection, segmentation, or 3D point cloud labeling, our expert team is dedicated to powering your AI systems with the data they need to excel.

What is Image Annotation?

Image annotation makes computers capable of acquiring knowledge from images or video data sets and understanding this information the same way humans do. By accurately identifying objects, boundaries, and attributes within 2D and 3D images, image annotation enables computer vision systems to interpret visual data with precision.
While automated algorithms help speed up the labeling process, human-in-the-loop (HITL) oversight ensures contextual accuracy and nuanced interpretation that machines alone can’t achieve. Image annotation can vary in complexity, from labeling individual pixels within an image to assigning a single tag to the entire image.
Enhance your AI model’s performance with our expert image annotation services tailored for your use-cases.

Types of Image Annotation services

We understand the complexities of machine learning and, hence, make use of the latest technologies and industry best practices to provide unrivalled image annotation services to businesses. We incorporate various types of image annotation solutions to solve your machine-learning challenges.

Bounding Box

One of the most commonly used image annotations for computer vision is to illustrate objects and data within a rectangular box called a bounding box. Being one of the world’s top image annotation companies, NextWealth’s annotation experts use 2D & 3D bounding boxes to identify and label the images to train the machine learning model. This technique to annotate images is widely used due to its simplicity, making bounding boxes ideal for a wide range of applications. Read More
bounding-box

Polygon Annotation

Irregular or asymmetric objects in images are plotted so that their exact edges can be annotated with accuracy. In this way, computer vision and ML models can recognize and respond to objects. This technique is used to precisely annotate irregular images like aerial photographs or road sign boards. NextWealth makes use of modern image annotation tools for precise detection and annotation. Read More
polygon-annotation

Lane Annotation

This technique makes use of small lines and vertices to define linear structures in the images. Structures such as roads, rail tracks, and pipelines can be traced by using small lines that are connected to the vertices. NextWealth experts make use of lane annotations that aid machine learning models to identify physical boundaries to operate within.
lane-annotation

Keypoint Annotation

By connecting individual points known as key points connected to edges across objects, this type of annotation sets up the skeleton structure of an object. By tracking such multiple points, the variations amongst objects that have the same structure can be easily recognized. Keypoint annotations are commonly used to detect body and facial features along with emotions and expressions for facial recognition.
keypoint-annotation

Semantic Segmentation

By assigning a specific class of objects to each pixel in an image, semantic segmentation helps train computer vision based ML models. Such distinct tagging of each pixel solves the computer vision problems that involve 2D images as output and converts them into a mask with areas that are highlighted resulting in a fine-grained interpretation of images. Read More
semantic-segmentation

Types of Image Annotation services

We understand the complexities of machine learning and, hence, make use of the latest technologies and industry best practices to provide unrivalled image annotation services to businesses. We incorporate various types of image annotation solutions to solve your machine-learning challenges.

Bounding Box

One of the most commonly used image annotations for computer vision is to illustrate objects and data within a rectangular box called a bounding box. Being one of the world’s top image annotation companies, NextWealth’s annotation experts use 2D & 3D bounding boxes to identify and label the images to train the machine learning model. This technique to annotate images is widely used due to its simplicity, making bounding boxes ideal for a wide range of applications.

Read More

Polygon Annotation

Irregular or asymmetric objects in images are plotted so that their exact edges can be annotated with accuracy. In this way, computer vision and ML models can recognize and respond to objects. This technique is used to precisely annotate irregular images like aerial photographs or road sign boards. NextWealth makes use of modern image annotation tools for precise detection and annotation.

Read More

Lane Annotation

This technique makes use of small lines and vertices to define linear structures in the images. Structures such as roads, rail tracks, and pipelines can be traced by using small lines that are connected to the vertices. NextWealth experts make use of lane annotations that aid machine learning models to identify physical boundaries to operate within.

Keypoint Annotation

By connecting individual points known as key points connected to edges across objects, this type of annotation sets up the skeleton structure of an object. By tracking such multiple points, the variations amongst objects that have the same structure can be easily recognized. Keypoint annotations are commonly used to detect body and facial features along with emotions and expressions for facial recognition.

Semantic Segmentation

By assigning a specific class of objects to each pixel in an image, semantic segmentation helps train computer vision based ML models. Such distinct tagging of each pixel solves the computer vision problems that involve 2D images as output and converts them into a mask with areas that are highlighted resulting in a fine-grained interpretation of images.

Read More

Applications of Image Annotation Services

Image annotation services can provide a lot of value to businesses across various industries. Depending on the type of business and mode of operation, it can be used in a variety of scenarios. It is possible to create, update, and combine various datasets, as well as to create training datasets, with databases. We begin by understanding the nature of the business and then perform image annotation. We ensure that your images are prepared for computer vision, regardless of whether they are in the retail, fintech, e-commerce, or healthcare industry.

Autonomous Vehicles

Our image annotation services enable autonomous vehicles to perform computer vision tasks with accuracy to foster harmless decision-making. Object classification algorithms make it easy to recognize crossroads and take control of the vehicle to avoid accidents.

Retail

Data labelling and Image annotation play an important role in implementing AI to automate the process and enhance the customer experience in the Retail sector. We simplify retailing with high-quality image annotation services that capture product recommendations, and customer sentiments, and improve inventory planning, product categorization and self-checkouts leading to better customer satisfaction and improved conversions.

Sports & Fitness

The application of image annotation and real-time data tagging in sports allows players to upskill their game. Our annotated videos and images of players in action provide trainers with accurate insights into their movements, enabling them to plan their practice sessions accordingly.

Augmented Reality (AR) and Mixed Reality (MR)

Become a pioneer in the AR/MR space by creating reliable solutions that offer immersive experiences for your customers. Our tailored datasets will enable you to train your ML models for growth and give your users access to virtual environments wherever they are.

Healthcare

The integration of artificial intelligence (AI) into healthcare diagnostic & curative practices enhances the delivery of healthcare. As part of our annotation service offerings to the healthcare industry, we deliver appropriately labelled and annotated medical image datasets. This enables doctors to make informed decisions, faster medical anomaly detection and improve patient outcomes.

Security

The increasing risk of criminal activity within public spheres can be eased by implementing AI in security and surveillance. We can guarantee accurate face recognition and object identification to help algorithms predict accurately and mitigate risks. The high-quality annotations we provide for security systems ensure 24 X 7 surveillance, thereby making lives safer and more secure for people.

NextWealth’s Approach to provide High-Quality Image annotation Services

As one of the leading image annotation services companies in Bangalore, NextWealth is the perfect choice for your image annotation requirements. Accurate and sensitive labelling process is the key to a model’s strong performance. Hence, our Human in the Loop approach primarily utilizes the manual method instead of relying solely on automated annotation techniques. We offer best-in-class image annotations for computer vision services with high accuracy. Our process comprises multiple reviewing and auditing of labelled datasets to ensure higher accuracy and precision.

  • Create tight bounding boxes to fit the whole object and to help models identify and learn with accuracy.
  • Utilizing pre-defined labels to categorize images according to their individual characteristics.
  • Precise labelling to ensure that every object of the image is labelled clearly to assist AI models in accurately identifying the object.
  • High level of consistency during the whole annotation process is maintained through constant reviews.

Successful client stories and case studies

Deep dive into our journey of partnering with the global business giants.

Computer Vision

Computer Vision

project to identify phishing threats

2 mins read

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Computer Vision

Facial Annotation

features using object detection and classification

2 mins read

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Computer Vision

Training Datasets

for machine learning algorithms

2 mins read

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Why partner with us

Our services are tailored to elevate the efficiency of your AI/ML processes
Managed Services l Captive Services l Staffing Services

5,000+

Skilled
Employees

1B+

Data
Transactions

40+

Live Projects

10+

Fortune 500
Clients

73

NPS Score

Testified and trusted by
the best in the world of business

I am really happy at all the great things we have been able to achieve in the past 1 year. The relationship now has a solid foundation, and I am sure NextWealth will continue to be a formidable partner going ahead, bringing a delightful experience for our customers.

Sr. Program Manager Fortune 10 Technology Company

NextWealth has been an invaluable partner to us, significantly accelerating our growth by handling critical data operations and providing strategic insights.

Founder India’s Largest Market and Competitor Intelligence Company

NextWealth’s hard work and dedication are truly making a difference, streamlining our processes significantly. We really appreciate it!

Principal AI & Machine Learning Scientist Global Leader in Threat Detection and Security Screening

My experience with NextWealth has been wonderful. The diligent team consistently delivers on time with a focus on quality. Their innovation-driven mindset fosters a win-win situation for both teams.

eCommerce Strategy Manager Europe’s Leading Fashion and Lifestyle Platform

I am happy with the improvement in the performance. I have seen positive improvement, and we have a long way to go.

Staff Technical Operations Manager Fortune 10 American Retail MNC

NextWealth’s in-depth analysis helped us pinpoint exactly what needs to be done to address the issues.

Specialist Quality Services, Fortune 10 Technology Company

With excellence in Quality, Cost, and TAT—key pillars of any operation—NextWealth sets a benchmark for operational efficiency and beyond.

Associate Director Indian Equity Research Company

We have experienced significant growth—a success we could not have achieved without the expert support, hard work, and commitment of NextWealth.

CEO Leading Marketing Agency

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FAQs

Can NextWealth handle 3D image annotations?

Yes, NextWealth provides 3D image annotation services, including the labeling of 3D point clouds. This is especially useful for applications like autonomous navigation and spatial analysis, where understanding 3D environments is crucial for AI models to operate effectively.

How does human-in-the-loop (HITL) improve image annotation accuracy?

Human-in-the-loop (HITL) is a process in which automated annotations are reviewed and refined by human annotators to ensure contextual accuracy and address edge cases. This results in high-quality annotations, particularly for complex or ambiguous images, improving model performance.

How does NextWealth handle sensitive data in image annotations?

NextWealth takes data security seriously and follows strict confidentiality protocols to protect sensitive information. They implement data encryption, secure access controls, and confidentiality agreements to protect all data throughout the annotation process, in accordance with industry standards and best practices.

How do you ensure consistency across large datasets with Image Annotation Services?

NextWealth ensures consistency in large datasets by following pre-defined labeling standards and a structured annotation process. With multiple quality control checks throughout the project and experienced annotators, the company maintains consistency across all image datasets, regardless of their size or complexity. This results in high-quality, reliable annotations that improve AI model accuracy.

What types of image annotation does NextWealth offer?

NextWealth provides various types of image annotation techniques tailored to different use cases. These include bounding box annotation for object detection, polygon annotation for irregular shapes, lane annotation for road and track identification, keypoint annotation for labeling key landmarks, and semantic segmentation for pixel-level classification of image regions, making them ideal for comprehensive AI training.

How do you handle edge cases or complex objects in image annotation?

NextWealth uses a human-in-the-loop (HITL) approach to ensure that edge cases and complex objects are handled accurately. While automation accelerates annotation, experienced annotators review challenging or ambiguous cases to ensure the model learns the correct context and nuances of those images.

How can image annotation improve our AI model’s accuracy?

Image annotation allows your AI model to learn and identify specific patterns in images, improving its ability to recognize and classify objects, faces, and other features. By using accurately labeled data, your model will be more precise in real-world applications, improving performance in areas such as object detection, segmentation, and classification.