Data Annotation: An Overview & Importance
Data labeling or data annotation is the most fundamental process of the artificial intelligence (AI) and machine learning (ML) industry. With the expansion of the AI and ML industry, the size of the coding, labeling and structuring data industry is also swelling exponentially. According to Grand View Research forecast, the global revenue of data labeling AI industry will reach $3.4 billion in 2028 from just $629.5 million in 2021 with a whopping growth of 27.1% CAGR over the forecast period. The demand for a data rating and labeling contractor and an expert data manual labeling has also increased significantly across the globe, especially for building dedicated teams in remote IT outsourcing hubs.
Data annotation is a process of categorizing and labeling the attributes of data in the form of text, audio, video, images, and other forms of input used in the machine learning (ML) and computer-vision artificial intelligence (AI) application. The main purpose of data labeling and classification, commonly known referred to as data annotation, is to build data-sets for training the computer-vision and machine learning algorithms of software applications to clearly understand the input data so that a suitable automated action can be performed for generating the desirable and accurate outputs.
Different models of using different types of procedures to label data such as automated labeling, human-powered annotation, and others. The use of human-annotated data is more accurate and reliable as compared to automated annotation. Thus, a big data labeling company as well as other companies dealing in AI always prefer to use data entry services for human-annotation of the data.
The Main Reasons to Hire a Team of Data Annotators:
We can help you professionally in a wide range of ways as mentioned below:
What Labeling and Data Annotation Services Do We Provide?
We are a specialized data annotation company with a wide range of data annotators and data labelers for our clients. A few most important services offered by our professional-grade data labeling agency are mentioned below:
Image Annotation/Processing
Our expert data annotators specialize in building AI image recognition datasets for artificial intelligence and other machine learning applications. Our image labeling services improve the naturality, accuracy, and user experience of the output of computer-based applications.
Text Annotation
The text annotation plays a very critical role in natural language processing (NLP) applications to make them behave more human-like with natural language touch. Our text annotation services help you realize this goal efficiently.
Video Annotation
Optical character recognition or OCR data collection and annotation in a video data input plays a very vital role in the accurate output of the application. Our specialized OCR validation and annotation services help you build high-quality computer-vision applications with a greater level of accuracy.
3D Point Cloud Annotation
The accuracy, efficiency, and reliability of remote sensing technology – Light Detection and Ranging (LiDAR) – used in modern artificial intelligence and robotic application depends on the 3D point cloud annotation of video and image data. Our technology-focused data annotators help you improve deep learning of LiDAR applications significantly.
Speech Recognition
Audio annotation with accurate sentiments and other attributes is one of the most important services we offer to our clients. Our specialized outsourced audio transcription services help you make the audio input of your applications more effective to produce accurate output.
Semantic Segmentation
Semantic segmentation is a type of segmentation for deep learning of an image for inferring the fine attributes of an image for more accurate results. Our experts specialize in image categorization and annotation services and can help you achieve professional-level precision and accuracy in the domain.
Polygon Annotation
Polygon annotation helps describe the images of the objects more accurately in terms of multiple angles so that the most accurate shape of the object can be achieved. Our specific annotators can help with the most accurate polygon annotation to make your application work accurately.
3D Cuboid Annotation
Our qualified data annotators and labelers provide highly professional-level 3D cuboid annotation to make your automated image processing more efficient and reliable.
AI and ML Data Labeling Services for Diverse Industries
We are one of the most professional ML data labeling service provider companies in the market with experience and expertise in a wide range of industries. The most common industries to whom we offer highly professional-grade data labeling AI services include the following:
Automotive
Automotive industry is highly influenced by artificial intelligence AI applications such as autonomous vehicles (AV), driverless cars, automated metros, and other applications. Our specialized service is capable of providing best data annotators and data labelers for the automotive industry professionally.
Healthcare
Robotics and automated processes in healthcare are used extensively in modern healthcare applications. We offer specialized services to find and hire skilled data taggers and data labelers for a wide range of AI-based applications used in the healthcare sector.
Robotics & Industrial Automation
Robotics & industrial automation is one of the cruising industries in the modern global market. Our hiring services specialize in hiring the professionals expert at image, video, and named entity recognition and labeling used in the robotics and industrial automation industry.
Information Technology
Our team mainly focuses on hiring skilled and qualified professionals for a wide range of AI and ML applications such as chatbots, voice and text converter and other apps used in the modern IT field. We provide highly accurate and reliable data annotation service for those types of applications.
Agriculture
Remote sensing and automated agriculture processes are growing at a very fast pace. Our specialized data annotation professionals service can help companies build accurate, efficient, and reliable agriculture AI-based applications.
Retail and eCommerce
Computer-vision applications are taking center stage in modern eCommerce applications. We offer highly specialized models for establishing data annotation teams remotely for building great eCommerce applications with a high level of reliability and accuracy.
Finance
Our data annotation specialists can help in building highly reliable and accurate data sets for training the ML and AI-based automated processes used in the finance and banking industry. Our company offers detailed-oriented labeling services to build highly robust solutions in the finance sector.
Insurance
Like many other industries, the insurance industry has also transformed into a highly automated industry. Our data collection and labeling services can help improve the quality of automation in the insurance industry.
3 Models of Cooperation We Offer
Navigating the realm of data annotation can be intricate. Below, we’ve outlined various service options to cater to diverse project needs and budgetary constraints, ensuring you find the perfect fit for your objectives.
Fully Managed Annotation Services
Hand over the complete project responsibility to us, and we’ll ensure the outcomes you’re aiming for. This approach is best suited for projects with time or budget constraints, saving you the cost of additional staff.
Flexible Part-time Annotation Support
Secure a part-time annotator specifically for your project. This setup is ideal for businesses watching their budget, as you only cover the hourly costs without committing to a full-time salary.
Dedicated Full-time Annotation Expert
For projects with a longer duration requiring a consistent presence, this option is perfect. You’ll be billed a monthly salary, effectively bringing a dedicated full-time professional onboard.
Professional Data Annotator/Data Labeler That We Can Find for You
We are a specialized data labeling agency with a big base of the most qualified, skilled, and experienced data annotators for your artificial intelligence and machine learning projects. The main qualities of our data labelers are mentioned below:
Technical skills:
- Tagging and categorization of content
- Localization, labeling, segmentation
- Knowledge of numerous video formats
- Knowledge of image and audio formats
- Audio, video, image, and text editors
- Content patterns and typing speed
- Attention to details and linguistic concepts
- Web surfing, research skills, online research
Professional experience:
- A few years of experience in annotation, classification, and segmentation
- Experience in working with audio, video, photo tools
- Using generic as well as custom tools of tagging and labeling
- At least a couple of years of experience in data labeling as well as data anonymization in different industries
- Expertise in data searching and collection through online research and categorization
- Working knowledge of the most common tools used in data annotation and segmentation
Personal qualities:
- Composed, committed and cool-minded
- Able to face monotonousness and work pressure
- Strong interpersonal communication skills
- Proactive, reliable, detail-oriented
- Multi-linguist and grammar skills
In-House vs Outsourcing Data Annotation: What Is the Best Way to Go?
Building an in-house or outsourced data annotation team has respective pros and cons. In certain cases, the in-house may be more desirable while in most cases, building an outsourced team of data annotators is more suitable for companies.
The pros and cons of building an in-house team are listed on the right:
Pros of In-House Team
- Greater control due to proximity
- Better security of the data
- Effective communication and coordination
- Fully dedicated and reliable
Cons of In-House Team
- Longer periods for hiring and training
- Costlier than remote teams
- Difficult to scale up the team
- Additional charges of HR process management
- Access to limited tech-talent pools
- Large upfront cost for infrastructure
Pros of a Remote Team
- Cost-efficient process
- Faster team building and expansion
- Flexible charges and team structure
- No upfront cost for infrastructure
- Option for non-disclosure agreement (NDA) for data security
- Fully managed HR process
- Faster work speed and efficiency
Cons of a Remote Team
- Communication issues
- Data security issues
Remote Data Annotation Team
The main benefits and downsides of outsourced data annotation team building are listed on the left:
Major Reasons to Build Data Labeling Specialist Team with Us
We offer numerous added advantages to our clients; a few of them are mentioned below:
Fully managed service: we provide you with a dedicated team of data annotators with a fully managed HR process without having you invest as upfront cost in infrastructure. We manage the entire process from requirement assessment to on-boarding the resources with speed and transparency.
Security: our services are designed in a way to offer highly secure services in which the data of the client remains 100% secure and uncompromised. We offer numerous additional options for security and integrity of data.
Speed: our hiring process is very fast so that our client gets the team ready in a few weeks or so. We can also help our customers scale up their teams very fast as the demands increase.
Cost saving: we offer highly competitive rates for highly professional-grade data annotation services. Our prices are fixed without any hidden charges with flexible payment options.
Constant communication: our managed service is powered by constant communication through multiple modern ways of communication, collaboration, and coordination tools. Our customer always feels connected like an in-house team.
Why Rely on Our Professional Data Labeling for Machine Learning Services?
The enterprises from across the globe can rely on our highly specialized and professional-grade data labeling for machine learning services because we offer numerous benefits as compared to many other competitors in the market. A few of them are mentioned below:
Faster time to market: the development of artificial intelligence (AI) and machine learning (ML) applications and continual updating of those applications become much faster to achieve the competitive-edge in the market.
Quality and customer satisfaction: our services are in line with European quality standards that offer full confidence and customer satisfaction without any doubts. We strongly focus on high quality of work.
Saving money & time: having a reliable outsourcing data annotation partner like us helps enterprises save substantial amounts of money and time in different types of processes managed by our professional-grade service.
Expanding resources: any company lacking top-class human resources due to certain business constraints can benefit from our highly customized outsourced data annotation service to expand their needs.
Access to a larger HR market: we have a large base of professional data annotators. It helps to build a data labeler team with proper skills and qualifications in a shorter period of time and bridge technology scarcity easily.
If you are looking for professional data annotator, get in touch with us to learn more about setting up dedicated teams of data labelers remotely now!
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Upon accepting our estimate, you will receive an invoice. Once the payment is made, we will commence the collaboration, working together to fulfill your text annotation needs.