AI
Artificial Intelligence (AI) is bringing drastic changes in technical fields and many businesses, where it can be implemented to automate the system for more efficiency and performance while we are quite unaware of how AI is making daily life easier and simpler than before, AI and ML require many of Data annotation for tools to get proper results as AI is now being widely used in multiple fields from mobile phones including social media to preventing threats and responding to active attacks in real-time. Accurate system works with efficiency for many businesses. We all are aware of AI and its applications in our daily life nowadays but knowing this tech deeply is something else. AI is the field of study that deals with building machines that can work, think, and react like human beings with help of Data Annotation & Data Labeling.
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 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. A task of marking and outlining objects and entities on an image and offering various keywords to classify it which is readable for machines.
AI + Annotation = Getting accurate results for every Industry
AI + Data Annotation = Improves the accuracy of data
AI + Data Annotation = Better quality training data
AI + Data Annotation = Better results
Annotation is one of the most initial and important steps in AI
Data Annotation: An initial Step for AI projects
Accurate data labeling and Data annotation both are very important steps to train the models for AI projects. 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.
List of Industries that essentially require
AI and Data Annotation COMBINATION for Best Results
Automobile
Manufacturing
E-Commerce
Retail
Healthcare
Financial
Agriculture
Transportation & Logistics
Cybersecurity
Medical Research & Development
Education.
Entertainment
So, the AI industry is spreading Globally but with the major assistance of the Data Annotation and Data Labeling services & that makes the perfect Combination.
Annotate your Data With Learning Spiral
Learning Spiral, with 15+ years of experience with international clients possesses immense domain knowledge under strict NDA and SLAs. We provide skilled professionals for high-quality data annotation/labeling solutions with scalability, flexibility, and high standards of security
One-stop Data Labeling and Annotation Service Provider. Learning spiral, Data Labeling company has the ability to deliver data annotation and data labeling at scale for every AI-based project. We have a rich history of 15+ years of handling sensitive data on a large scale.
Your Data our responsibility.