Data Annotation & Labeling Service

We prepare data input for AI systems to be trained intelligently. Transform your data into valuable insights with our accurate data annotation services.

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30+

Processing languages

1200+

Experienced employees

100%

Data security &
Quality Assurance

A customizable and comprehensive data annotation solution for training AI model

Building an Artificial Intelligence (AI) or Machine Learning (ML) model that acts like a human requires large volumes of properly categorized and annotated training data. Text, audio, image, or video will become trained data through Data Annotation. These tasks are typically completed by humans who must manually label detect objects.

With our data annotation service, we help you tackle complexity at scale by providing accurate tagging and labeling of both structured and unstructured data. We guarantee high-quality output and handle projects of any size or complexity.

DIGI-TEXX provides a team of specialized data annotators with an experienced and reliable crowdsource, ensuring to deliver high-quality training data.

We offer to conduct the training project on either your available system or DIGI-TEXX’s AI-assisted tools to ensure that all your data is accurately annotated.

Our services help you convert your data into valuable insights and make informed decisions.

Data labeling services

We specialize in developing AI models through training data using various data annotation techniques. We ensure accuracy and quality control throughout the process.

Data Annotation and Labeling serivces

IMAGE ANNOTATION SERVICE

Human-annotated data is more accurate and of higher quality than data annotated by a machine. To ensure an excellent machine learning experience, DIGI-TEXX provides data annotation services through specialists with the necessary skills.

These services include object detection, semantic segmentation, sentiment analysis, semantic annotation, 2D/3D bounding boxes, polygons, cuboids, and key point annotations.

Our experts process images so that machines can perceive the world as humans do. Choose DIGI-TEXX as your data labeling services provider.

Data Annotation and Labeling serivces

VIDEO ANNOTATION SERVICE

Our advanced video annotation tool allows you to capture each object in a video frame-by-frame and annotate it. This makes moving objects recognizable by machines quickly.

We have the technology and experience to offer comprehensive video annotation services, providing you with accurately labeled datasets for all your video annotation needs. We can help you build your computer vision models with the desired level of accuracy.

BOUNDING BOX BACKGROUND DATA ANNOTATION

TEXT ANNOTATION SERVICE

For text annotation, a metadata tag is used to label the characteristics. So it can help you optimize AI training datasets. Tag criteria like phrases, sentences, keywords, and sentiments in the text will provide valuable data to train the machine about human writing intent and emotions in each word. We support popular languages like English, Chinese, Japanese, German, and Vietnamese.

Text annotation is best for many applications such as creating smart chatbots, voice assistants, more efficient search engines, machine translators, archiving historical documents, and more.

We also transcribe text and spoken content found in images or videos, in any language.

ROBOTIC PROCESS AUTOMATION BACKGROUND

MACHINE LEARNING SERVICE

With our Machine Learning Service, you can extract valuable insights from vast amounts of data and make sense of complex patterns, using advanced algorithms and deep learning techniques.

We leverage advanced tools and techniques to accelerate the model training process using large datasets, minimizing the time required to achieve optimal results. All the data will go through our data preprocessing steps (cleansing data, handling missing values, and image quality enhancement) to improve the model’s performance.

DIGI-TEXX takes pride in our ability to navigate the complexities of AI development, delivering high-quality models that provide accurate predictions, and valuable insights in today’s data-driven world.

IMAGE ANNOTATION SERVICE

Polygon

Human-annotated data is more accurate and of higher quality than data annotated by a machine. To ensure an excellent machine learning experience, DIGI-TEXX provides data annotation services through specialists with the necessary skills.

These services include object detection, semantic segmentation, sentiment analysis, semantic annotation, 2D/3D bounding boxes, polygons, cuboids, and key point annotations.

Our experts process images so that machines can perceive the world as humans do. Choose DIGI-TEXX as your data labeling services provider.

VIDEO ANNOTATION SERVICE

Keypoints

Our advanced video annotation tool allows you to capture each object in a video frame-by-frame and annotate it. This makes moving objects recognizable by machines quickly.

We have the technology and experience to offer comprehensive video annotation services, providing you with accurately labeled datasets for all your video annotation needs. We can help you build your computer vision models with the desired level of accuracy.

TEXT ANNOTATION SERVICE

Text Annotation

For text annotation, a metadata tag is used to label the characteristics. So it can help you optimize AI training datasets. Tag criteria like phrases, sentences, keywords, and sentiments in the text will provide valuable data to train the machine about human writing intent and emotions in each word. We support popular languages like English, Chinese, Japanese, German, and Vietnamese.

Text annotation is best for many applications such as creating smart chatbots, voice assistants, more efficient search engines, machine translators, archiving historical documents, and more.

We also transcribe text and spoken content found in images or videos, in any language.

MACHINE LEARNING SERVICE

Machine Learning

With our Machine Learning Service, you can extract valuable insights from vast amounts of data and make sense of complex patterns, using advanced algorithms and deep learning techniques.

We leverage advanced tools and techniques to accelerate the model training process using large datasets, minimizing the time required to achieve optimal results. All the data will go through our data preprocessing steps (cleansing data, handling missing values, and image quality enhancement) to improve the model’s performance.

DIGI-TEXX takes pride in our ability to navigate the complexities of AI development, delivering high-quality models that provide accurate predictions, and valuable insights in today’s data-driven world.

You’re gonna love dIGI-TEXX

Managers from many kinds of businesses turn to DIGI-TEXX to enhance their client’s digital experiences.

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Our Deployment Models

Chart Business Model Data Annotation and Labeling

Frequently Asked Questions

Our data labeling consultancy utilizes customer-centric design to facilitate efficient business transformation.

Data annotation is the process of labeling unstructured data that is then used to train machine learning models. In the current era of rapidly increasing technology and data resources, making sense of vast quantities of raw data can be difficult. Annotation allows companies to gain insights and make use of the information they have collected. Without it, much of the raw information is unusable.

Accurately annotated datasets provide valuable insights into how people use digital products and enable organizations to build powerful AI solutions with higher success rates in production systems.

Common types of data that require annotation include images, videos, text, and audio files. Proper labeling allows supervised machine learning models to identify objects, understand the sentiment, and perform tasks like translation or speech recognition.

Data annotation is used in machine learning to train models to identify patterns and make predictions. By labeling data with the correct tags, machine learning algorithms can learn to recognize and categorize new data with high accuracy.

This process is critical for supervised learning, where the machine is trained on labeled data to classify new, unlabeled data. Data annotation is also used in unsupervised learning to help identify patterns and relationships within the data. The accuracy and quality of data annotation greatly affect the performance of machine learning models.

Data labeling and data annotation are related concepts but refer to slightly different processes in the context of machine learning (ML) and data analysis:

Data Labeling involves assigning meaningful and descriptive tags or labels to specific data points or instances. Data labeling is more focused on classification tasks, where the goal is to categorize data points into predefined classes or categories. For example, in image classification, each image may be labeled with a corresponding class or category label (e.g., “car,” “road,” “people”).

Data Annotation is a broader term that encompasses various techniques used to enhance the data by adding additional information or annotations beyond simple labels. This involves more detailed and specific annotations, such as bounding boxes in object detection, and even textual descriptions or sentiment annotations in natural language processing. Data annotation provides more context and detailed information about the data, enabling machine learning algorithms to extract more meaningful insights.

Overall, data labeling is the process of assigning labels or tags to data points, while data annotation encompasses a broader range of techniques that involve adding additional contextual information or annotations to the data. Data annotation can include data labeling as one of its components and it extends beyond simple labeling to provide richer and more detailed annotations for various ML tasks. 

The choice between data annotation and data labeling depends on the specific requirements of the machine-learning task and the nature of the data being processed.

Our 4-step data labeling process for you

We specialize in developing customized digital transformation strategies that leverage the latest technologies to help you efficiently achieve your business goals. Our team of experts can assist your organization in exploring and implementing new possibilities while minimizing disruption and cost.

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Your industry will benefit the most from our services

We can help improve the efficiency of data management and deliver richer data insights to improve overall business models.

E-commerce

We assist e-commerce companies in enhancing their product categorization, customer experience, marketing, inventory management, and fraud detection by providing accurately labeled data for their AI and ML models.

Construction

In the construction industry, we help enhance our clients’ AI systems to forecast other potential dangers, monitor construction progress, and reduce the amount of material wasted.

Insurance

Data annotation supports the creation of AI systems that assist the insurance industry by analyzing medical claims, assessing damages, conducting property evaluations, and more.

Retail

DIGI-TEXX helps in labeling and categorizing products accurately, enabling retailers to offer personalized and relevant recommendations to customers

Automobile

Our annotated datasets enable machine learning algorithms to recognize and interpret various objects and scenarios on the road, such as traffic signs, pedestrians, and other vehicles. Accurate annotations facilitate the development of safe and reliable autonomous vehicles.

You don’t see your industry here? Contact us

What makes us a suitable data annotation service provider for you?

We thoroughly understand your consumer concern and provide reliable support services on your behalf. Here are the reasons why we are the best provider of data management services.

Competitive pricing

Our advanced data annotation platform and partners help us deliver projects within an affordable budget.

Data accuracy

At DIGI-TEXX, we understand that data accuracy is the first and critical standard of the data quality framework. We combine AI technologies and our specialists to ensure the highest accuracy rate.

Data security

Confidential information will remain secure and be restricted from outside exposure with a reliable information security management system (ISMS) based on the ISO 27001 standard with GDPR compliance.

On-demand workforce

Handle peak time and large-scale projects with an on-demand workforce by our young & enthusiastic Vietnamese data annotators. We build a team specialized in scalable projects with a quick turnaround time to meet different clients’ needs.

Quality assurance

Service quality is managed by our Quality Control team who makes sure each project is carried out with the highest level of professionalism.

Round-the-clock support

Our dedicated project management team ensures your concerns are in control 24/7.

We are an active member of

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Our exemplary project delivery capacity

Our data annotation and labeling solutions add value to any business (from small to large enterprises) around the world.

Our 20 Years of Proven Track Record

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Straight-Through Process for Customer Onboarding

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Let’s get in touch

Share your business goals with our experts, and we will respond promptly.

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