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Vision Novice

Computer Vision Fundamentals

Image processing, CNNs, and OpenCV for visual AI

⏱️ Duration: 6 hrs
πŸ’° Fee: β‚Ή1299 + Taxes
Vision Novice
πŸ† Vision Novice

View our curriculum

The entire program leads to mastery in the field and is intended to give future practitioners a complete curriculum.

Module 1

Introduction to Computer Vision

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What is Computer Vision?

Vision Novice

Applications: Image classification, Object detection, Real-world use cases in healthcare, automotive, and retail

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Image Representation

Vision Novice

Pixels and color channels (RGB, Grayscale), Image matrix representation, Understanding image tensors

Module 2

Image Processing with OpenCV

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Basic Image Operations

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Resizing, Cropping, Rotating, Color space conversions

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Filtering Techniques

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Blurring, Sharpening, Gaussian and median filters

Module 3

Introduction to CNNs

🧠

Convolutional Neural Networks

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Convolution & Pooling layers, Activation functions (ReLU, Sigmoid), Understanding feature maps

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Training CNN on MNIST Dataset

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Image classification pipeline, Model evaluation metrics, Visualizing learned features

Vision Novice Projects:

Sharpen Your Skills with Real Battles

Master AI by working on industry-grade projectsβ€”building, innovating, and solving challenges to prepare for the fast-moving industry.

Vision Novice

Expression Recognition

Recognizing human emotions from facial images using Convolutional Neural Networks..

Vision Novice

Traffic Sign Recognition

Identifying and classifying traffic signs from images to aid autonomous driving systems.

Vision Novice

Medical Classification

Classifying medical images (e.g., X-rays, MRIs) into diagnostic categories using deep learning.

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Object Detection

Detecting and tracking objects in video streams by integrating CNN models with OpenCV.

Certification

Get Certified

Complete real-world projects, pass assessments, and earn your Vision Novice badge.

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