Data labeling

What is labeled data?

Under machine learning, if you have labeled data, that means your data is properly structured or annotated, to teach your machine learning model to predict, understand, and take decisions. In general, data labeling means tasks that include data tagging, annotation, moderation, categorization, transcription, or processing.

Qualitative Data Labeling Services includes

Learning Spiral, a data labeling company is partnering with some of the leading global companies focusing on AI initiatives, in the world, and is working on a wide variety of highly nuanced Computer Vision, NLP/NLU, Content and digital publishing use cases. The majority of the work we perform is using human intervention by trained, in-house & dedicated professionals.

How do Data Labeling services help? 

To power Machine learning we use Advance Data labeling Techniques that improve the quality of training data in an interactive manner after human correction takes Less time and greater output. Nothing is more essential than the quality and label data in Machine Learning to allow the machines to understand the data and get better results. Data labeling helps machines to learn certain patterns and correlate the results, and then use the data sets to recognize similar patterns in the future to predict the results. Humans are powering machine learning by data labeling, to train ml algorithms. Labeled data support machines and AI systems for each and every industry and allows all to perform better in the future with better results. 

  • Automated Data Labeling 

Although Automated Data Labeling saves time and money but lacks many important factors like accuracy, more Data annotation functions, and customization services that’s totally covered through Human empowered Data Labeling. 

Automated Data Labeling available in following tasks 

  • Image classification 
  • Semantic segmentation
  • Bounding box
  • Text classification
  • Human Powered Data Labeling 

To make companies data and algorithms successful and for better results, Human Data Labeling services are of utmost importance. And so being a Data Labeling company we provide qualitative human-powered data labeling services. Human Powered Data Labeling services provide more functions, are more accurate, and can also be customized according to client requirements. 

Data Annotation

Reasons, why Human empowered Data Labeling, is More Accurate?

To make companies data and algorithms successful and for better results, Human Data Labeling services are of utmost importance. And so being a Data Labeling company and to provide qualitative data annotation services  Our In-house, Professional, Dedicated and trained teams work with utmost accuracy to provide qualitative data labeling services.

  • Human empowered Data Labeling Provides more Data Annotation functions 

Machines learning models use an algorithm to learn the patterns in the input through such data sets that are fed into the models. Basically, to train machines Human empowered data labeling is extremely important to build AI systems as automated tools don’t have enough functions while humans can provide types of data labeling and annotation functions and label different shapes and sizes of objects available in various formats. Machine learning needs proper datasets and model machines to learn much accurately to assist humans to achieve their goal and this is what machine learning is used for Thus, Human annotated Data is key to machine learning. 

  • Human empowered Data Labeling can customize Data labeling service at affordable cost

Humans can label the data for different needs as per the model requirements, and provide accurate solutions to their clients that surely automation systems can’t provide. Humans provide 

customized and flexible data labeling services at an affordable cost. One of the most important factors in AI systems is accurate data sets and human-annotated data is quite accurate as the experts doing annotation have a great experience to customize & deliver accurate annotation services. While automation lacks the same. 

  • Human empowered Data labeling provides Accuracy and scalability 

Machine Learning requires accurately labeled data to provide better results from algorithms. As the labeled data for machine learning needs to be accurate to predict the right conclusions.  

Humans help to label data with utmost accuracy by using proper techniques and tools 

As we all know automation can have lots of errors and bugs and so humans are required to fix the bugs and provide annotated data.

Thus, Human empowered Data labeling services are no doubt more accurate and reliable as compared to automated data labeling. Seeing all factors Pick the best type of data labeling service for your AI project.  

Learning Spiral, data labeling company offers both Automated Data Labeling & Human empowered Data labeling services that provide the potential to your Algorithms.

It is a privately owned company and has been in the Client Servicing industry for more than 15 years. Our Professional Annotators collects and labels data used to build and continuously improve the world’s most innovative artificial intelligence systems.

One-stop Data Labeling and Annotation Service Provider.

 To know more about Data Labeling get in touch with us now

Thanks for reading!

Leave a Reply

Your email address will not be published. Required fields are marked *

You have successfully subscribed to our blogs.

There was an error while trying to send your request. Please try again.

Learning Spiral AI will use the information you provide on this form to be in touch with you and to provide updates and marketing.