Computer Vision Fundamentals

Image processing, CNNs, OpenCV

⏱️ Duration:8 hrs
💰 Fee:1299 + Taxes
🎯Weekend batch

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

👁️

What is Computer Vision?

Vision Novice

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

🖼️

Image Representation

Vision Novice

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

Module 2

Image Processing with OpenCV

🔄

Basic Image Operations

Vision Novice

Resizing, Cropping, Rotating, Color space conversions

🔍

Filtering Techniques

Vision Novice

Blurring, Sharpening, Gaussian and median filters

📐

Edge Detection

Vision Novice

Canny, Sobel, and Laplacian filters, Contour detection and analysis

Module 3

Introduction to CNNs

🧠

Convolutional Neural Networks

Vision Novice

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

🔢

Training CNN on MNIST Dataset

Vision Novice

Image classification pipeline, Model evaluation metrics, Visualizing learned features

Vision Novice Projects:

Sharpen Your Skills with 4+ Battles

Master AI by working on 4+ real-world projects—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.

Vision Novice

Object Detection

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

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