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text based image retrieval

Text-Based Image Retrieval: Using Deep Learning

Text-based image retrieval (TBIR) systems use language in the form of strings or concepts to search relevant images. Computer Vision and Deep Learning algorithms analyze the content in the query image and return results based on the best-matched content. With the rapid advancement in Computer Vision and Natural Language Processing(NLP), understanding the semantics of text …

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object detection

Object Detection – A Simplified Solution In 2021

Object detection has grown significantly over the years. Classifying and finding an unknown number of individual objects within an image or video is considered as one of the challenging and impossible tasks that becomes a solution beyond what is required for image classification. Object detection is primarily powered by deep learning and convolutional neural networks …

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transformers

Machine Learning for Transformers – Explained with Language Translation

Day by day the number of machine learning models is increasing at a pace. With this increasing rate, it is hard for beginners to choose an effective model to perform Natural Language Understanding (NLU) and Natural Language Generation (NLG) mechanisms. Researchers across the globe are working around the clock to achieve more progress in artificial …

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semantic segmentation

Understanding Images from Pixel Level with Semantic Segmentation

Image Segmentation is considered a vital task in Computer Vision – along with Object Detection – as it involves understanding what is given in the image at a pixel level. It provides a comprehensive description that includes the information of the object, category, position, and shape of the given image. There are various algorithms for …

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AI COVID Vaccine

Harnessing AI for an Effective COVID Vaccine Rollout

AI (artificial intelligence) has been a vital practice since the early days of the COVID-19. Tracking active patients count, analyzing thousands of scientific research papers for definitive treatment options, and in vaccine development processes AI has been widely used. The application of next-generation technology frameworks and digital tools not only helped in fastening healthcare operational …

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AI in infleuncer marketing

How Machine Learning Can Ace Influencer Marketing Game?

Influencer marketing has grown significantly in the past few years. Due to the pervasive use of social media channels to promote products and services, influencer marketing can be considered as a new-age digital revolution. With a digitally empowered general populace, the CPG industry is now able to authenticate and communicate brand stories across distinct socials …

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Sentiment Analysis

Sentiment Analysis -Constitute Customer Emotions For Better Service

The increasing demand to channelize customers’ emotions along with their positive and negative reactions for optimizing operations and increasing revenues. Analyzing these reactions and extracting intelligence from them will help brands gauge the ROI of their PR and marketing efforts. And this era of the internet is making it far much easier to collect opinions …

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Computer Vision in Manufacturing

Computer Vision in Manufacturing for Industrial Automation & Transformation

Though various forms of computer vision (A.K.A machine vision) are used in manufacturing for decades, the recent advancements in machine learning and computer vision are increasing the demand and need for computer vision applications on the shop floor. According to Grand view research, the global market for computer vision technology is expected to reach USD …

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Machine Learning Trends

Disruptive Machine Learning Trends For 2021

Machine Learning (ML) is one of the most disruptive trends of all time. With an increasing number of organizations indulging it today, Machine Learning (ML) technology is becoming one of the most powerful applications. While businesses are adopting transformation, it subsequently is speeding up the growth of ML and other supporting tools of ML. As …

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Image processing

Extracting Business Value With Image Processing

Image processing is an art of mathematically altering digitized images to extract quantitative information by leveraging cutting-edge technologies. With advancements in technology and hardware (camera) – along with the availability of raw data from various sources in the form of text, images, and videos that needs to be processed – companies are adopting artificial intelligence …

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Text-Based Image Retrieval: Using Deep Learning

Text-Based Image Retrieval: Using Deep Learning

Text-based image retrieval (TBIR) systems use language in the form of strings or concepts to search relevant images. Computer Vision and Deep Learning algorithms analyze the content in the query image and return results based on the best-matched content. With the rapid advancement in Computer Vision and Natural Language Processing(NLP), understanding the semantics of text … ...

Object Detection – A Simplified Solution In 2021

Object Detection – A Simplified Solution In 2021

Object detection has grown significantly over the years. Classifying and finding an unknown number of individual objects within an image or video is considered as one of the challenging and impossible tasks that becomes a solution beyond what is required for image classification. Object detection is primarily powered by deep learning and convolutional neural networks … ...

Machine Learning for Transformers – Explained with Language Translation

Machine Learning for Transformers – Explained with Language Translation

Day by day the number of machine learning models is increasing at a pace. With this increasing rate, it is hard for beginners to choose an effective model to perform Natural Language Understanding (NLU) and Natural Language Generation (NLG) mechanisms. Researchers across the globe are working around the clock to achieve more progress in artificial … ...

Understanding Images from Pixel Level with Semantic Segmentation

Understanding Images from Pixel Level with Semantic Segmentation

Image Segmentation is considered a vital task in Computer Vision – along with Object Detection – as it involves understanding what is given in the image at a pixel level. It provides a comprehensive description that includes the information of the object, category, position, and shape of the given image. There are various algorithms for … ...

Harnessing AI for an Effective COVID Vaccine Rollout

Harnessing AI for an Effective COVID Vaccine Rollout

AI (artificial intelligence) has been a vital practice since the early days of the COVID-19. Tracking active patients count, analyzing thousands of scientific research papers for definitive treatment options, and in vaccine development processes AI has been widely used. The application of next-generation technology frameworks and digital tools not only helped in fastening healthcare operational … ...

How Machine Learning Can Ace Influencer Marketing Game?

How Machine Learning Can Ace Influencer Marketing Game?

Influencer marketing has grown significantly in the past few years. Due to the pervasive use of social media channels to promote products and services, influencer marketing can be considered as a new-age digital revolution. With a digitally empowered general populace, the CPG industry is now able to authenticate and communicate brand stories across distinct socials … ...

Sentiment Analysis -Constitute Customer Emotions For Better Service

Sentiment Analysis -Constitute Customer Emotions For Better Service

The increasing demand to channelize customers’ emotions along with their positive and negative reactions for optimizing operations and increasing revenues. Analyzing these reactions and extracting intelligence from them will help brands gauge the ROI of their PR and marketing efforts. And this era of the internet is making it far much easier to collect opinions … ...

Computer Vision in Manufacturing for Industrial Automation & Transformation

Computer Vision in Manufacturing for Industrial Automation & Transformation

Though various forms of computer vision (A.K.A machine vision) are used in manufacturing for decades, the recent advancements in machine learning and computer vision are increasing the demand and need for computer vision applications on the shop floor. According to Grand view research, the global market for computer vision technology is expected to reach USD … ...

Disruptive Machine Learning Trends For 2021

Disruptive Machine Learning Trends For 2021

Machine Learning (ML) is one of the most disruptive trends of all time. With an increasing number of organizations indulging it today, Machine Learning (ML) technology is becoming one of the most powerful applications. While businesses are adopting transformation, it subsequently is speeding up the growth of ML and other supporting tools of ML. As … ...

Extracting Business Value With Image Processing

Extracting Business Value With Image Processing

Image processing is an art of mathematically altering digitized images to extract quantitative information by leveraging cutting-edge technologies. With advancements in technology and hardware (camera) – along with the availability of raw data from various sources in the form of text, images, and videos that needs to be processed – companies are adopting artificial intelligence … ...

OCR & Computer Vision -Creating a Modern Algorithm​

OCR & Computer Vision -Creating a Modern Algorithm​

Today we are accessible to a mountain of intelligent technologies. And no doubt that computer vision stores a vital space among all of them. When we talk about computer vision, the foremost application that we think of is Image Recognition. But indeed, a computer vision also encompasses OCR (Optical Character Recognition) algorithm, which allows seamless … ...

Intertwining Machine Learning and APIs

Intertwining Machine Learning and APIs

APIs (or Application Programming Interfaces) have been identified as important intermediaries between technologies like machine learning(ML) and their end-users. With big data streaming in vast data pools, organizations are turning towards machine learning APIs to leverage the technology and withdraw the complexities involved in creating and deploying machine learning models. APIs are making machine learning … ...