image annotation

Image Annotation: Guide to Create Training Data for Computer Vision

Artificial Intelligence , Computer Vision , Machine Learning

Image annotation is one of the vital applications of computer vision, which allows the machines a high-level ability to deconstruct digital images or videos and interpret the visual information just like humans. Most of the remarkable applications of AI like self-driving cars, medical imaging, self-flying drones, etc., are only possible through image annotation. While image …

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image classification with deep cnn

Deep CNN for Image Classification: How it Makes a Difference

Computer Vision , Deep Learning

Deep convolutional neural network (CNN) based image classification plays an essential role in seamlessly performing most of the challenges from disease diagnosis to predicting consumerism behavior. Using Deep CNN reduces the time and effort required to spend on extracting and selecting classification features manually. In recent times, deep CNN has been applied to image classification …

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AI smart cities

Building Smart Cities: The Role of Artificial Intelligence & Machine Learning

Artificial Intelligence , Computer Vision

Smart cities are a new-age revolution to maximize the utilization of technology, optimize the consumption of natural resources, and human capital to fuel sustainable economic growth and participatory governance. Smart cities are mostly employed across highly populated urban areas in major countries. For instance, these cities adopt a combination of cameras, sensors, and artificial intelligence …

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Computer Vision Agriculture

Computer Vision for Smart and Sustainable Agriculture

Agriculture , Computer Vision

The recent advancements in Computer Vision technology are upgrading the overview of its applications in agriculture. The combination of Artificial Intelligence, Computer Vision, and Machine Vision is making the world of farming more advanced than humankind ever discovered. Employing Agri-Tech is disrupting the traditional dynamics of farming by helping farmers in better crop yielding. Using …

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