Course on

Computer Vision

Computer Vision has its applications across multiple domains like medicine, mapping, drones and autonomous cars. This course provides an in-depth knowledge on computer vision including fundamentals of image formation, camera imaging geometry, feature detection and matching etc.

Enrol

Key Features

Gain experience with handson exercises
Instructor led training
Flexibility of learning in class or online
Industry exposure – Use Cases
Learn by doing – Assignments, Tasks
Curriculum – par with Industry
Innovative Approach – Discussions, Quiz, webinar

Project Based Learning Approach
Capstone Projects
Solutions for your skill gaps
Upskilling and Level Setting
Dedicating mentoring sessions from industry experts
Career Support
Industry valued Certificate

Duration

45 Hours

Mode

Classroom | Online |

Weekends & Weekdays

Type

Corporate | Academic | Individual

Schedule

Batch	Mode	Time	Fee
Weekends/ Weekdays	Online Training Instructor Led	Flexible	INR 36000	Enroll Now
Weekends/ Weekdays	Classroom Training	Flexible	INR 32000	Call/ Whatsapp 9841557655

Prerequisite : Python, Data Science, Machine Learning, Deep Learning

Curriculum

Fundamentals of Computer Vision

Data, Operations on Numpy Arrays (Images), Core Operations on Images, Image Acquisition, Image Enhancement, Image Restoration, Manipulating Exposure and Colour Channels Edges And Lines, Image Gradients, Canny Edge Detection, Image Pyramids, Contours, Histograms

Image Filtering and Transformation

Geometrical Transformations of images, Morphological Transformations, Image Transforms, Temple Matching, Hough Line, Circle Transform, Filtering and Restoration, Image Threshold, Smoothing Images, Foreground Extraction Using Grabcut

Feature Based Object Detection

Detection of Features and Objects, Harris Corner, SIFT, SURF, FAST, BRIEF, ORB, Segmentation of Objects, Object Detection and Recognition

Deep Learning Applications in CV

CNN, VGG, Inception, ResNET, SCikit-image, OpenCV

Capstone Projects

Capstone Project- I

Capstone Project – II

Tools Covered

FAQ(s)

What is online (live) Instructor-Led Training?

Instructor-led online training is an interactive mode of training. The trainer and learner(s) log in at the same time and live sessions will be done. NO RECORDED VIDEOS. Trainer will be interacting with learners in all sessions throughout the course/training.

Is part of the course having self-paced videos?

All the modules and topics of this course are delivered through live scheduled sessions by the trainers. NO SELF – PACED VIDEOS.

What, If I miss a session?

VYOAM supports learners with its learning manage system, in addition with sharing the required materials, data tales and notes. Also the trainers will help you to get it done with the missed session.

What are prerequisites for this course?

Prerequisites are thorough knowledge in Python Programming, Machine learning and deep learning .

Who are the trainers?

Our trainers are part of Product Development and Consultancy division of VYOAM. They are highly qualified (PhD holders in Artificial Intelligence), AI Experts with years of relevant industrial experience. Our trainers are good at translating highly technical information in ways that others can understand in order to influence the effective knowledge transfer..