Blog #data annotation company

Annotations basically derived the word to make anything detectable or recognizable to others mainly machines. And in machine learning it is the process to create the training data sets for the ML algorithms learn from the same and make the right predictions when used in real life.   

So, in terms of machine learning or deep learning we will discuss about the benefits or advantages of annotation in the worlds. But before that let understand how machine leering models use such data. Annotation make the data recognizable to machines, and algorithms are developed to make such data understandable to machine to make the right predictions as per the use in various scenario.

Benefits of Using Annotation in Machine Learning 

Annotation are different types, so there benefits are also different according to the type of ML model and its use. In text or NLP annotation, the data available in the text format are annotated to make the human language and communication process understandable to machines. 

While in video or image annotation the object of interest is annotated to make it recognizable to machines and that is possible through machine learning algorithms. So, you can find here the list of benefit of annotation in machine learning and AI field.

Top Advantages of Annotation in AI Development:

·         Voice Recognition

·         Sound Recognition

·         Audio Recognition

·         Object Detection 

·         Object Recognition

·         Object Localization

·         Object Classification

·         Object Segmentation 

Similarly, the landmark annotation done for face recognition is providing the benefit to computer vision to detect and recognize the human faces. This type of annotations are used to create the huge amount of training data sets AI security camera or autonomous flying objects for object detection and recognitions in various scenarios like in the nights, dark or unfavorable environment conditions.

Types of Annotations in Machines Learning 

In the AI world, text annotation, video annotation and image annotation are the leading type of data annotation used to create the different types of training data for machine learning. Furthermore, in audio annotation and NLP annotation are the also types of annotations used to create the voice or speech based AI models, that can understand human voice and communicate accordingly. 

However, in image annotation you will find different types of techniques to create the high-quality training data for machine learning. Bounding box annotation, semantic image segmentation, 3D cuboid annotation, polyline annotation, 3D point annotation, landmark annotation and various more.

How to Outsource Data or Image Annotation for Machine Learning?

If you are interested in annotation of different types of data for your machine learning project, just leave this task on professional companies providing the data annotation job for machine learning and AI projects. These companies will provide you better annotated data with quality results. 

Anolytics, is one the best known data annotation company, provides the image annotation, text annotation and video annotation service for machine learning training. Working with world-class AI companies, it is providing the high-quality training data to develop the AI model for various fields including healthcare, agriculture, retail, automotive and robotics at lowest cost.

Ref. url : https://anolytics-ai.blogspot.com/2020/05/what-are-benefits-of-annotation-in.html

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.

Ref. url : https://anolytics.home.blog/2019/11/25/what-is-data-annotation-and-what-are-its-advantages/