Computer Vision Tutorials

1
Introduction to Computer Vision
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Introduction to Computer Vision

Explore the fundamentals of computer vision, a powerful intersection of artificial intelligence and visual data interpretation in python and discover its significance as well as importance in healthcare, automotive, security, agriculture.

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2
Image Preprocessing for Computer Vision
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Image Preprocessing for Computer Vision

Explore image processing techniques like resizing, normalization, and grayscale conversion for enhancing model performance, reduce complexity, and ensure cleaner data with practical examples using the CIFAR-10 dataset and PyTorch.

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3
Mathematical Analysis for Computer Vision
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Mathematical Analysis for Computer Vision

Discover the role of mathematical analysis in computer vision, exploring topics such as linear algebra, multivariable calculus, probability, Fourier analysis, and so on. Uncover how these mathematical concepts form the backbone of algorithms, and models.

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4
A Complete Guide of Data Augmentation in Computer Vision
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A Complete Guide of Data Augmentation in Computer Vision

Understand how data augmentation improves model robustness, reduces overfitting, and enhances generalization. Discover advanced techniques like adversarial and GANs, and practical tips for experimenting with augmentation to optimize model performance.

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5
Hands-on Image Classification in Computer Vision
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Hands-on Image Classification in Computer Vision

Understand about image classification problem and explore popular CNN architectures such as LeNet, AlexNet, VGGNet,and others with a hands on practical example.

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6
Face Recognition in Computer Vision with Implementation
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Face Recognition in Computer Vision with Implementation

Explore the world of face recognition in computer vision, its applications in security, biometrics, and healthcare and build a face identification system with real-time face detection using OpenCV and a pre-trained model.

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7
A Complete Guide to Object Detection with Implementation in Computer Vision
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A Complete Guide to Object Detection with Implementation in Computer Vision

Explore the world of object detection in machine vision, its applications and common object detection architectures with implementing object detection using the Faster R-CNN algorithms in PyTorch and OpenCV.

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8
A Comprehensive Guide to Image Segmentation in Computer Vision
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A Comprehensive Guide to Image Segmentation in Computer Vision

From understanding the basics to diving deep into types, methods, and real-world applications of image segmentation in Computer Vision with implementing a real-world semantic segmentation using U-Net model.

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9
Pose Estimation in Computer Vision: Concepts & Implementation
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Pose Estimation in Computer Vision: Concepts & Implementation

Discover the world of Pose Estimation, delving into the computer vision technique that determines the position and orientation of humans or animals in images or videos with building a 2D Pose Estimation model using YOLOv8.

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10
Optical Character Recognition (OCR) in Computer Vision: From Pixels to Text
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Optical Character Recognition (OCR) in Computer Vision: From Pixels to Text

Explore the transformative world of Optical Character Recognition (OCR) and uncover the principles, techniques, and applications of OCR, delving into CRNN architecture with a practical implementation using PyTorch for extracting text from CAPTCHA images.

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11
Image Generation with DCGANs in Computer Vision
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Image Generation with DCGANs in Computer Vision

Embark on a captivating journey into the realm of image generation with DCGANs and uncover the significance of image generation, delve into the architecture of DCGANs and step-by-step implementation of DCGANs in generating celebrity faces.

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12
A Complete Guide to Image Restoration in Computer Vision
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A Complete Guide to Image Restoration in Computer Vision

Explore the realm of image restoration in computer vision through a comprehensive tutorial and dive into types, implementation,real world applications and considerations of image restoration.

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13
3D image generation in Computer Vision with implementation
In Progress

3D image generation in Computer Vision with implementation

Embark on a journey into the world of 3D image generation in computer vision. Explore fundamental concepts, types, and dive into a coding implementation using Generative Adversarial Networks (GANs).

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