All you need to know about Data Annotation

Definition of Data Annotation 

Data annotation is the process of labeling data to make it understandable for machine learning and it’s utmost necessary to have accurate sets for Machine Learning.  Data annotation, an important step of data preprocessing in supervised learning. Machine Learning (ML) dictates a new approach to business – one that requires plenty of data. 

Meaning of Data Annotation 

Data annotation consists, text annotation, image annotation, and video annotation using the various techniques as per the project requirements and machine learning algorithms compatibility. Data annotation is done to create the training data sets for AI and ML while image annotation is a very important type of annotation. A task of marking and outlining objects and entities on an image and offering various keywords to classify it which is readable for machines. 

Why Data Annotation is necessary? 

It’s a very important task for machine learning because data scientists need to use clean, annotated data to train machine learning models. Data annotation is important in machine learning in many use cases, as it makes the work of the machine learning program much easier and accurate.

Data Annotation =  Improves the accuracy of data 

Data Annotation = Better quality training data 

Data Annotation = Better results 

It’s one of the most initial and important steps 

Data Annotation: An initial Step for AI projects 

Accurate data labeling and Data annotation both are very important steps to train the models. As much as annotated data is used to train the machine learning model, the accuracy will be higher in various AI projects. The variety of data sets used to train the machine learning algorithm will learn different types of factors that will help the model to utilize its database to give the most suitable results in various scenarios. With a machine learning algorithm trained with annotated data, only a few characters are needed for sites to be able to produce the desired results of the users.

Main Formula behind successful AI is Data Annotation & Data Labeling 
So, Accurate Data Labeling & Annotation – Train Machines – Accurate Results in AI projects With annotated data, the performance of AI projects and machine learning solutions are more accurate and relevant. Following are some of the major AI projects where Data Annotation and Labeling is highly necessary for accurate results 

Some Major Industries that require Data Annotation services at scale 

Automobile, Manufacturing, E-Commerce, Retail, Healthcare, Financial, Agriculture, Transportation & Logistics, Cybersecurity, Medical Research & Development, Education

 Without any doubt, the data-labeling and Data Annotation industry is spreading Globally but Some important Data Annotation Projects are as follows: 

Chatbots 

Chatbots recognize words and phrases in order to deliver helpful content to customers who have common questions. Sometimes, chatbots are so accurate that it seems as if you’re talking to a real person. For many industries especially e-commerce or the enterprise, retaining or understanding their users requires efficient and effective customer support. There are many companies that make use of AI & machine learning to improve the customer support experience. 

Self Driving Cars 

 AI technology is hastening the development of self-driving cars. In fact, according to research by Google, AI-powered cars already surpass human drivers when it comes to safety, as AI allows self-driving cars to adapt immediately to changing conditions and learn from new situations. Currently, most car manufacturers are looking to integrate AI technology in future product offerings and the initial step to employ a Data labeling company to provide quality data labeling and annotation services. 

E-Commerce 

Machine Learning and Artificial intelligence (AI) has drastically changed the world of online shopping. It provides services to customers in many ways from ensuring security to providing assistance and making things in a more proper and easy manner. It helps Retail/ e-commerce space to provide services to their customers on the next level and create satisfactory online shopping experiences. AI is one of the fastest technological successes due to intelligent solutions that are helping to change the e-commerce industry. AI and Machine Learning are supported to deliver the best and most secure shopping experience with the help of data annotation and labeling services provided by data annotation companies that make complicated tasks easier. 

TYPES OF DATA ANNOTATION 

  • Text annotation
  • Image annotation
  • Video annotation
  • Audio Annotation

Text Annotation

Learning Spiral is well equipped to handle any kind of text annotation project. Whether you’re training an entity extraction system or sentiment analysis tool, our curated crowd can accurately label text data in 300+ languages and dialects. Text annotations help machines to recognize the crucial words in sentences making it more meaningful.

Audio Annotation

Develop, calibrate, and improve voice-enabled applications with our audio annotation services. 

With expertise developed audio enhancement tools for noise removal and speech enhancement, we will be your perfect partners for audio transcriptions tasks such as “customer support calls, Speech to text transcription, Metadata attribution to audio data such as gender, audio quality, Sentiment analysis, labeling and satisfaction measurement for customer support calls and much more. It’s one of the most useful types of Data annotations for many industries especially E-commerce.

Image Annotation

Image Annotation is a task of marking and outlining objects and entities on an image and offering various keywords to classify it which is readable for machines. This is a very important task as this data helps generate datasets that help computer vision models work in a real-world scenario. We annotate & tag images with corresponding labels & keywords for easy categorization & help you in creating your customized terminology for object tagging.

Image annotation outsourcing to us means our clients get a cost-effective data labeling service helping them to minimize the cost of their project with the best efficiency.

Video Annotation

Video annotation provides an in-depth visual perception to autonomous vehicles recognizing the various types of objects like pedestrians, street lights, signboards, traffic lanes, signals, cyclists and vehicles moving on the road to train the machine learning algorithms. 

Learning spiral provides video annotation services to provide accurate data for self-driving cars and other use cases. Build comprehensively labeled video datasets with Learning Spiral suite of video annotation services. From object localization to video tracking, Learning Spiral has the experience and technology necessary to serve all of your video annotation needs. The first and most use and purpose of video annotation is capturing the object of interest frame-by-frame and making it recognizable to machines.

Data Annotation Tool

A data annotation tool is a cloud-based, on-premise, or containerized software solution that can be used to annotate production-grade training data for machine learning. It’s important to wisely choose the right data annotation tool so as to ensure accurate data for machine learning models. Annotation tools make the annotation process simpler & faster. But sometimes choosing a suitable tool is a time taking and tricky task.  So, the tricky part is to think wisely about your tooling needs now and into the future. Tools are made and developed to help annotators work smoothly and make the annotator’s task easier. When the right tool is developed for a particular project it makes the annotation process efficient and effective.

Then, the raw data is uploaded into the tools so that experience annotators can run through those unstructured data. Categorize & label them accurately so that they deliver data accordingly as per client requirement

Types of Data Annotation Tools 

Semantic 

Bounding box annotation

LIDAR Annotation and Labeling 

Thus, Annotated & Labeled Data + Machine Learning = Strong AI system for projects like Chatbots, Self-driving Cars & E-commerce, and many more.

Pick the best Data Annotation company for computer vision and NLP services while saving money and time!

Thanks for Reading & Stay Tuned with us

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