Computer Vision 2020-06-26T05:47:20+00:00

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.

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Video-Course Description

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

BatchModeTimeFee
Weekends/ WeekdaysOnline Training
Instructor Led
FlexibleINR 36000
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Weekends/ WeekdaysClassroom TrainingFlexibleINR 32000
Call/ Whatsapp

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

FAQ(s)

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.

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

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.

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

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..

Mentors help the learners to set their target learning goals and discuss how to achieve them. Mentors also answer subject experts; provide feedback on projects, and help the learners to build their portfolio in data science domain.

Yes. Mentorship is integrated part of this course. Learners can interact and career assistance from mentors.

After successful completion of assignments, case studies, capstone projects thereby completion of course, learners will be provided with the certificate.

The fees can be paid in 3 to 4 instalments. For more details about payment options and instalments, please contact +91 9841557655.

Yes. There is a group discount. Group discount is offered when you join as a group (3 members in a group)

VYOAM offers training model that upskill the learner, which in turn makes the learner full competitive to acquire job with their skill sets.

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