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Training Data For AI

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Data Annotation

Know-how Data Annotation is Transforming the Medical Sector

  • January 13, 2021
1)  Data Annotation & AI helps in the Diagnosis process Data Annotation and AI are now helping healthcare professionals to diagnose various diseases.  Diagnostic process takes a lot of time. Annotation and AI in diagnosis can play a very important role in pathology by accurately identifying rare objects in...
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About Data Annotation

How Data Annotation is Changing the E-commerce Sector

  • January 6, 2021
Initial Step –  Data Annotation & Data Labeling Services  Data Annotation, ML and AI together have drastically changed the E-commerce sector. It provides services to customers & sellers in many ways. Some of the major benefits are as follows:   It ensures security,  provides assistance and increase the visibility of...
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Audio Annotation

Learn how Learning Spiral is helping NLP giant with Audio Annotation

  • January 4, 2021
QUALITATIVE AUDIO ANNOTATION SERVICES  Data annotation includes many types of annotation like text annotation, image annotation, video annotation and also Audio Annotation using the various techniques as per the project needs and ML algorithms compatibility.  Know-how we are handling NLP needs covering a broad range of important tasks like...
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Data Labeling Company

Uses of Computer Vision in Various Sectors

  • December 19, 2020
Some industries where AI, Data Labeling & Data annotation are widely used  Voice Assistants  In modern times voice assistants like Siri and Alexa are of great use. The assistants provide useful information related to everything you want to know. Siri and Alexa use NLP to provide quick responses to...
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Computer Vision

Uses of Computer Vision in Various Sectors

  • December 18, 2020
Below are some of the  industries for which AI, ML  Data annotation and Data Labeling services  are highly important  Agriculture AI in the agriculture sector is very important to increase productivity and enhance growth.  AI-enabled solutions help to increase crop production through various factors and techniques like forecasting about...
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Computer Vision

Uses of Computer Vision in various sectors

  • December 17, 2020
Following are the industries under which Data annotation, Data Labeling services  & machine learning are highly significant & trending.  E-Commerce  AI in E-commerce is making a great impact on customer choices through the knowledge of previous shopping details, online browsing habits etc. ML and AI technology have greatly changed...
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Video annotation

Video Annotation for Machine Learning

  • December 16, 2020
Video Annotation  Build comprehensively labeled video datasets with Learning Spiral suite of video annotation services. From object localization to video tracking, Learning Spiral has the experience and technology necessary to serve all of your video annotation needs. Video annotation is used for many important industries and major use cases.  ...
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Data labeling

All you need to know about Deep Learning

  • December 14, 2020
Deep Learning  Deep learning is a subset of machine learning (ML) which is a sub-discipline of artificial intelligence (AI). Deep learning is used to carry out more crucial tasks without being explicitly programmed to do so. Basically, in deep learning neural networks are used to analyze data and extract...
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Training Data Set

Chatbots For Financial Sector

  • November 25, 2020
Chatbots  For industries like finance, education, healthcare, and e-commerce or the enterprise, retaining or understanding their users requires efficient and effective customer support. There are many companies that make use of AI & machine learning to improve their customer support experience. One of the most important processes is Data...
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Lidar Annotation

How does LiDAR work?

  • November 24, 2020
LiDAR  LIDAR stands for LIght Detection and Ranging. It is a remote sensing technology emitting light that travels around the object and back to the receiver creating points every time it hits the object building a 3D map of the entire scene. We help annotate or label cars, pedestrians,...
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