AI and machine learning is one the fastest growing technology brining unbelievable innovations providing the advantages to different fields globally. And to create such automated applications or machines, huge amount of training data sets is required.
And to create such data sets, image annotation technique is used to make the objects recognizable to computer vision for machine learning. And this annotation process is benefiting not only the AI filed but also providing advantages to other stakeholders. Here we will discuss about the advantages of data annotation in various fields.
What is Data Annotation?
Data annotation is the process of labeling the data available in various formats like text, video or images. For supervised machine learning labeled data sets are required, so that machine can easily and clearly understand the input patterns.
And to train the computer vision based machine learning model, data need to be precisely annotated using the right tools and techniques. And there are multiple types of data annotation methods use to create such data sets for such needs.
What are the Types of Data Annotation?
Data annotation encompasses the text, images and videos to annotate or label the content of object of interest in the images while ensuring the accuracy to make sure it can be recognized by the machines through computer vision.
In image annotation, different types of popular image annotation used are bounding box annotation, polygon annotation, semantic segmentation, landmark annotation, polylines annotation and 3D point cloud annotation.
And to annotate the images, there are different types of tools or software available in the market to label the data with accuracy. Choosing the right tools and technique is important to make sure data can be labeled as per the needs of the customers.
What are the Advantages of Data Annotation?
Data annotation is directly benefiting the machine learning algorithm to get trained with supervised learning process accurately for right prediction. However, there are few advantages you need to know, so that we can understand its importance in AI world.
Improves the Accuracy of Output
As much as image annotated data is used to train the machine learning model, the accuracy will be higher. The variety of data sets used to train the machine learning algorithm it will learn different types of factors that will help model to utilize its database to give the most suitable results in various scenarios.
More Enhanced Experience for End-users
Machine learning based trained AI models or automated applications provide a totally different and seamless experience for end-users. Virtual assistant devices or Chatbot assist the users immediately as per their needs to solve their queries.
I can answer questions of people asking about a particular product, services or general information about the latest weather conditions or check the news etc.
Similarly, in web search engines like Google, the machine learning technology works gives the most relevant results using the search relevance technology to improve the result quality as per the past searching behavior of the end-users.
Similarity, in virtual assistance, speech recognition technology is used with the help of natural language process to understand the human language and communication.
NLP annotation and text annotation are the part of data annotation creating the training data sets to develop such models providing more enhanced and user-friendly experience to different people globally through multiple devices.
Anolytics is providing the full-fledge data annotation service for machine learning and AI. It is involved in text, video and image annotation using all types of techniques as per the requirement of the customers. Working with highly-skilled annotators to provide to AI customers a best quality of training data sets at lowest pricing.
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