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Your First steps in Computer Vision: Using PyTorch with an example

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Contributed By: Dr C. S. JyothirmayeeLinkedIn Profile: https://www.linkedin.com/in/dr-c-s-jyothirmayee-rao-396b3715/ The term Computer Vision (CV) is used and heard very often in artificial intelligence (AI) and deep learning (DL) applications. The term essentially means… giving a sensory quality, i.e., ‘vision’ to a hi-tech computer using visual data, applying physics, mathematics, statistics and modelling to generate meaningful insights. […]

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low level vision

Computer Vision: Low-level Vision

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Image Processing What happens if we increase the number of bits in an image? Translation Re-sizing Rotation What are the different colour spaces available? Where is Grey-colour Space useful? The Fourier Transform What are the advantages derived in the frequency domain? How do we use the Fourier Transform in digital image processing? High-pass filter What

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Datasets for Computer Vision

Datasets for Computer Vision using Deep Learning

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Deep learning stems from neural network-based artificial intelligence. Neural networks transformed the entire learning process of algorithms due to its efficient feature extraction capabilities. The deep learning approach has gained tremendous momentum in the past decade for the following reasons: Large and efficient datasets Huge rise in computational power capabilities The best time to learn

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