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Month: February 2022

Learning Spiral AI > Blogs > 2022 > February
Importance_of_Image_annotation

Importance of Image Annotation Services

  • February 28, 2022
Image Annotation for Machine Learning   Image annotation services annotate all types and sizes of images with precise capturing tools making the images recognizable for machines. We are using the best tools and data annotation techniques to annotate the images from different fields providing the training data solution for machine...
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Benefits_of_Data_Annotation_Services

Benefits of Data Annotation Services

  • February 23, 2022
Data Annotation services help to improve the accuracy of data for ML algorithms. Data Annotation services help to increase the accuracy of data used to train machines and to run ML algorithms.  The variety of data sets used to train the machine learning algorithm will learn different types of...
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Role_of_Data_Annotation

Role of Data Annotation Services in the E-commerce & Retail

  • February 19, 2022
AI & Data Annotation services are highly supporting online shopping experiences for both retailers and customers. For the past few years, we can see a revolution in how the e-commerce sector have adopted data annotation and AI.  Some are already using AI with data annotation services for a better...
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IMPORTANCE_OF_MACHINE_LEARNING-01

IMPORTANCE OF MACHINE LEARNING?

  • February 5, 2022
What is MACHINE LEARNING? Machine learning is basically about the science of giving computers the ability to learn & understand. AI & ML algorithms are being used daily in our lives through various significant applications such as self-driving cars, speech recognition, searches, and recommendations. And, also Machine learning is...
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Data_Annotation

Data Annotation Services and its Role in Machine Learning

  • February 1, 2022
Basically, Data annotation is the process of detecting and tagging unstructured data to structured datasets for Machine Learning algorithms. The process is both manual and assisted by software. So, Data annotation services are used when constructing Machine learning algorithms for major industries like autonomous vehicles, healthcare, finance, entertainment, e-commerce...
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