Current

Intermediate

Air Canvas using openCV

Skillshare · Jayanta Sarkar · Updated March 2026

Platform rating

4.5/5

AI Tutor Rating

8.4/10

Duration

Self-paced

Classes

8

We will be using the computer vision techniques of OpenCV to build this project. The preferred language is Python due to its exhaustive libraries and easy ...

What you'll get

Build computer vision applications with OpenCV and Python

Implement face detection and recognition systems

Create real-time image processing pipelines

Apply object detection to practical problems

Course Curriculum

3 chapters

Fit

Best for

ML Engineers

Data Scientists

AI Researchers

Deep Learning Practitioners

Not ideal for

Learners seeking only entry-level overviews

Prerequisites & pricing

Prerequisites

Skillshare membership

Pricing

Skillshare Premium ($13.99/mo)

Certification

No

Growth Leverage: Completing the 'Air Canvas using OpenCV' course can position you for roles such as Computer Vision Engineer, Machine Learning Developer, or AI Researcher, opening pathways to certifications like TensorFlow Developer or advanced roles in AI and machine learning.

Skills Value: The skills gained allow you to develop applications for face recognition, real-time image processing, and object detection, which are in high demand, with computer vision roles offering salaries averaging $100,000, reflecting the market's increasing reliance on AI-driven solutions.

Computer Vision

OpenCV

Python

Image Processing

Face Detection

Object Detection

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