Optical Character Recognition (OCR) is a technology that enables machines to recognize and interpret printed or handwritten text. It has become an essential tool for businesses looking to streamline their operations and improve efficiency. OCR technology is applied across various industries to automate mundane and time-consuming tasks, such as data entry, invoice processing, and record-keeping. …
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Object detection is a cutting-edge field in computer vision that involves detecting and localizing objects of interest within an image or video. Object detection is a challenging task due to the complexity of natural scenes, which are often cluttered and contain significant variations in object appearance, size, and orientation. Recent advancements in deep learning algorithms, …
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The term “synthetic data” is used in computer vision to describe images that are generated by algorithms instead of being captured by a camera. These images are usually generated for training artificial intelligence (AI) models. The use of synthetic data has several advantages over real data. First, it is easier to get a large amount …
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Sentiment analysis is the application of text mining tools to identify the objective behind a piece of specified information and predicting the positive or negative outcomes out of it. Sentiment analysis helps businesses primarily to analyze social sentiments and get informed about the voice of the customers regarding a brand, product, or service. Sentiment analysis …
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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 (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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