Best Practices of Data Annotation

What is 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. 

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. 

Human-empowered data annotation

Data Annotators specializes in providing reliable and high-quality training data sets for Machine Learning/Artificial Intelligence initiatives. The main motive is to provide a pivotal service that allows companies to focus on their core business, while we create the data sets that you need to power your algorithms.

To make companies’ data and algorithms successful and for accurate results, Human empowered Data Annotation is of utmost importance. And so being a Data Labeling company and to provide qualitative data annotation services  Our In-house, Professional, Dedicated & trained teams work with utmost accuracy to provide qualitative DATA ANNOTATION Services.

Why quality of data annotation is important

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

Quality of Data Annotation  Improves the accuracy of data 

Quality of Data Annotation provides Better quality training data 

Quality of Data Annotation offers Better results 

So Quality of Data Annotation one of the most initial and important steps in AI 

REMEMBER 

 Bad AI can destroy businesses 

Companies like Microsoft, Apple, IBM, Facebook, and Google warn that bad AI decisions can harm potential businesses.

One of the biggest AI necessity is “Data Annotation” 

Data annotation plays a very important role in ascertaining your AI and machine learning projects are trained with the right information to learn from. Data annotation offers the initial setup for a machine learning model to provide accurate results. Artificial Intelligence (AI) and Machine Learning (ML) dictate a new approach to business – one that requires plenty of data. It’s a crucial task for machine learning because data scientists need to use clean, annotated, organized data sets to train machine learning models.

About  learning  spiral

Learning Spiral Provides Qualitative Data annotation services as our data annotation team is capable of drawing bounding boxes, cuboids, polygon, image classification/ tagging, text annotation, image masking annotation, data annotation & labeling, 2D & 3D annotation, Semantic segmentation, 3D LIDAR Annotation, autonomous vehicle, tagging of aerial view pictures, drone technology, contour annotation, etc.  

Data Annotation Types

  1. Text annotation
  2.  Image annotation
  3.  Video annotation

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

Thanks For Reading & for more interesting updates Stay Tuned With us! 

Leave a Reply

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