Importance of Accurate Data Labeling Process

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.

Data Labeling Process

Data 

Automated Data labeling OR  Human-Powered Data Labeling Process 

Labeled Data 

Accurate Labeled Data = Accurate ML Algorithms = Accurate Results

Automated Data labeling OR  Human-Powered 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. 

Labeled Data 

Labeled data is a group of samples that have been tagged with one or more labels. Labeling typically takes a set of unlabeled data and augments each piece of that unlabeled data with meaningful tags that are informative. Under machine learning, if you have labeled data, that means your data is marked up or annotated, to show the target, which is the answer you want your machine learning model to predict. In general, data labeling means tasks that include data tagging, annotation, classification, moderation, transcription, or processing.

Accurate Labeled Data = Accurate ML algorithms = Accurate Results

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.

Importance of accurate Data Labeling process

Helps to gain accurate results 

Helps to gain Accurate ML algorithms 

Helps to save time and improve accuracy 

About the organization 

Learning Spiral, a data labeling company is partnering with some of the leading global companies focusing on AI initiatives, in the world offering DATA ANNOTATION & DATA LABELING SERVICES 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.