Computer Vision

Computer Vision is an exciting field of artificial intelligence that enables machines to interpret and make decisions based on visual data. By mastering computer vision, you'll gain the skills to develop applications like autonomous vehicles, facial recognition systems, medical imaging, and augmented reality. This field combines techniques from image processing, machine learning, and deep learning to analyze and understand images and videos. With applications across industries like healthcare, automotive, security, and entertainment, expertise in computer vision opens up a world of innovative possibilities. Dive into computer vision today and help shape the future of technology

Course Content

Demo Video

Basics of computer vision

History and applications

Image representation (pixel color spaces bit depth)

Image acquisition (cameras sensors).

Image reading and writing

Image resizing

Image rotation

Image translation

Image cropping

Image normalization

Histogram equalization

Image filtering (blurring sharpening)

RGB to grayscale

RGB to HSV

Other color spaces (YCbCr

LAB)

Scaling

Rotation

Translation

Affine transformations

Perspective transformations

Noise reduction (denoising)

Contrast adjustment

Edge detection (Sobel

Canny)

Contour detection

Simple thresholding

Adaptive thresholding

Otsu’s method

Erosion

Dilation

Opening

Closing

Haar cascades

HOG (Histogram of Oriented Gradients)

YOLO (You Only Look Once)

SSD (Single Shot Multibox Detector)

Faster R-CNN

Optical flow

Mean-shift and CamShift

Kalman filter

Object tracking with Deep Learning (Deep SORT)

Face detection (Haar cascades Dlib)

Facial landmark detection

Face recognition (Eigenfaces Fisherfaces Deep Learning methods)

Convolutional Neural Networks (CNNs)

Transfer learning

Pre-trained models (VGG

ResNet

Inception)

Segmentation models (U-Net

Mask R-CNN)

GANs (Generative Adversarial Networks)

Autoencoders

OpenCV

TensorFlow

Keras

PyTorch

Autonomous vehicles

Security and surveillance

Healthcare applications

Retail and e-commerce

Instructor

Kamal

Data Science and Generative AI Trainer

4.4 Rating
10k+ Students Trained
100+ Batches Completed

Computer Vision Engineer at E&Y Experience in Neural Networks Currently working on Computer Vision Use Cases Artificial Intelligence Trainer and Mentor