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.
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
Schedule
Batch | Mode | Time | Fee | |
---|---|---|---|---|
Weekends/ Weekdays | Online Training Instructor Led | Flexible | INR 36000 | |
Weekends/ Weekdays | Classroom Training | Flexible | INR 32000 | 9841557655 |
Prerequisite : Python, Data Science, Machine Learning, Deep Learning
Curriculum
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
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
Detection of Features and Objects, Harris Corner, SIFT, SURF, FAST, BRIEF, ORB, Segmentation of Objects, Object Detection and Recognition
CNN, VGG, Inception, ResNET, SCikit-image, OpenCV
Capstone Project- I
Capstone Project – II
Tools Covered







