To be Scheduled

Computer Vision

Learn Computer Vision to process and analyze images and videos. Gain hands-on skills in image recognition, object detection, and building CV models using Python and popular libraries for real-world applications.

To be Scheduled_Weekends Only

Artificial Intelligence & Automation

Enroll Now

About this Training

This hands-on training introduces participants to Computer Vision (CV) techniques and applications. Learners will explore image processing, feature extraction, object detection, image classification, and building CV models using Python libraries such as OpenCV, TensorFlow, and PyTorch. Emphasis is placed on practical exercises with real-world images and videos, enabling participants to implement CV workflows for research, automation, and AI projects. By the end of the course, learners will be capable of developing and deploying computer vision solutions for practical use cases.

What You'll Learn

Module 1: Introduction to Computer Vision – Basics applications and CV workflow
Module 2: Image Processing Fundamentals – Reading displaying and manipulating images
Module 3: Feature Extraction – Edges corners keypoints and descriptors
Module 4: Object Detection & Recognition – Detecting and classifying objects in images
Module 5: Image Classification with ML & DL – Building models for categorizing images
Module 6: Advanced CV with Deep Learning – Using CNNs and pre-trained models
Module 7: Evaluation & Optimization – Metrics model tuning and performance improvement
Module 8: Real-World CV Projects – Applying computer vision to practical datasets

This training includes:

Hands-on exercises in image processing

Feature extraction and detection projects

Object recognition and classification

Building CV models with Python

Implementing CNNs and deep learning models

Model evaluation and optimization

Real-world computer vision projects

Skills you'll gain:

Image processing and manipulation

Feature extraction techniques

Object detection and recognition

Image classification using ML and DL

CNN implementation for CV

Using pre-trained CV models

Model evaluation and tuning

Applying computer vision to real datasets