OpenCV Tutorials - Computer Vision

Basic / AWS, Lambda, OpenCV, dynamodb, s3-bucket

4.8

(5)

200+

This lecture introduces serverless systems through AWS Lambda, and creates an image processing end system with OpenCV, an image processing library, and expands it with an API.

Basic

AWS, Lambda, OpenCV

AWS Lambda + OpenCV

Jeonghyun Kim

Basic / AWS, Lambda, OpenCV, dynamodb, s3-bucket

4.8

(5)

200+

OpenCV + WebApp (Making a Face Eye Detection Web App)

Jeonghyun Kim

Basic / Django, Web Application, OpenCV, Computer Vision(CV)

4.3

(12)

Let's create a web app that uploads an image and uses OpenCV to process it and detect faces.

Basic

Django, Web Application, OpenCV

OpenCV + WebApp (Making a Face Eye Detection Web App)

Jeonghyun Kim

Basic / Django, Web Application, OpenCV, Computer Vision(CV)

4.3

(12)

Similar courses

Explore other courses in the same field!

C# OpenCV Computer Vision Introductory Course

s076923eo6266

Intermediate / C#, OpenCV, Computer Vision(CV)

4.8

(29)

400+

This is an introductory course on OpenCV using C#. It mainly covers how to use functions, how function arguments affect results, etc., rather than theoretical elements.

Intermediate

C#, OpenCV, Computer Vision(CV)

C# OpenCV Computer Vision Introductory Course

s076923eo6266

Intermediate / C#, OpenCV, Computer Vision(CV)

4.8

(29)

400+

Computer Vision All-in-One: 10 Practical Projects Completed in 12 Hours

nomad

$152.90

Basic / Python, OpenCV, Deep Learning(DL), Machine Learning(ML), yolo, image-segmentation

3.7

(7)

Easy, Usable Computer Vision Projects: Step-by-step learning of practical CV projects. Boost skill with real examples.

Basic

Python, OpenCV, Deep Learning(DL)

Computer Vision All-in-One: 10 Practical Projects Completed in 12 Hours

nomad

$152.90

Basic / Python, OpenCV, Deep Learning(DL), Machine Learning(ML), yolo, image-segmentation

3.7

(7)

Shin Kyung-shik's Deep Learning Odyssey - Image Basics for Computer Vision

asdfghjkl13551941

$7.70

Beginner / Computer Vision(CV), Deep Learning(DL), AI

5.0

(2)

Build a solid theoretical foundation of images essential before learning deep learning-based computer vision. Understand the essence of image data, such as pixels, resolution, and color representation, and cultivate practical programming skills to read, transform, and preprocess images using Python.

Beginner

Computer Vision(CV), Deep Learning(DL), AI

Shin Kyung-shik's Deep Learning Odyssey - Image Basics for Computer Vision

asdfghjkl13551941

$7.70

Beginner / Computer Vision(CV), Deep Learning(DL), AI

5.0

(2)

Shin Kyung-shik's Deep Learning Odyssey - MNIST Dataset

asdfghjkl13551941

Basic / Deep Learning(DL), Computer Vision(CV), AI

We will summarize the theoretical concepts of MNIST, the most fundamental dataset in computer vision, and learn how to implement it using Torchvision's API as well as how to implement a custom dataset class directly.

Basic

Deep Learning(DL), Computer Vision(CV), AI

Shin Kyung-shik's Deep Learning Odyssey - MNIST Dataset

asdfghjkl13551941

Basic / Deep Learning(DL), Computer Vision(CV), AI

Creating an AI Portfolio - Airbnb Clone Project

AISchool

Basic / Deep Learning(DL), Portfolio, GitHub

4.6

(9)

This course allows you to build an AI portfolio by cloning the Amenity Detection project from the Airbnb Data Science team—a prime example of TensorFlow utilization—and documenting the entire process on a GitHub blog.

Basic

Deep Learning(DL), Portfolio, GitHub

Creating an AI Portfolio - Airbnb Clone Project

AISchool

Basic / Deep Learning(DL), Portfolio, GitHub

4.6

(9)

Shin Kyung-sik's Deep Learning Odyssey - Convolutional Layers and Pooling Layers

asdfghjkl13551941

Basic / Deep Learning(DL), Computer Vision(CV), AI

This course provides a complete theoretical overview of the operations of convolutional and pooling layers, which are the core modules of Convolutional Neural Networks, and helps you develop implementation skills by building them yourself.

Basic

Deep Learning(DL), Computer Vision(CV), AI

Shin Kyung-sik's Deep Learning Odyssey - Convolutional Layers and Pooling Layers

asdfghjkl13551941

Basic / Deep Learning(DL), Computer Vision(CV), AI

[Mobile] Deep Learning Computer Vision Practical Project

nomad

Intermediate / IONIC, Machine Learning(ML), Deep Learning(DL), OpenCV, Computer Vision(CV)

4.3

(4)

AI Artificial Intelligence, it goes without saying that mobile is the trend. But how do you learn machine learning and deep learning and use them on mobile? Now, let's learn useful mobile Computer Vision projects that are used in daily life.

Intermediate

IONIC, Machine Learning(ML), Deep Learning(DL)

[Mobile] Deep Learning Computer Vision Practical Project

nomad

Intermediate / IONIC, Machine Learning(ML), Deep Learning(DL), OpenCV, Computer Vision(CV)

4.3

(4)

[Tensorflow2] Complete conquest of Python machine learning - Marathon record prediction project

nomad

Intermediate / Tensorflow, Machine Learning(ML), Keras, Computer Vision(CV)

4.1

(25)

300+

This is a comprehensive machine learning project course that learns various useful machine learning regression and classification projects along with theory using Python and TensorFlow 2 based on Boston Marathon big data.

Intermediate

Tensorflow, Machine Learning(ML), Keras

[Tensorflow2] Complete conquest of Python machine learning - Marathon record prediction project

nomad

Intermediate / Tensorflow, Machine Learning(ML), Keras, Computer Vision(CV)

4.1

(25)

300+

OpenCV + WebApp (Making a Face Eye Detection Web App)

Jeonghyun Kim

Basic / Django, Web Application, OpenCV, Computer Vision(CV)

4.3

(12)

Let's create a web app that uploads an image and uses OpenCV to process it and detect faces.

Basic

Django, Web Application, OpenCV

OpenCV + WebApp (Making a Face Eye Detection Web App)

Jeonghyun Kim

Basic / Django, Web Application, OpenCV, Computer Vision(CV)

4.3

(12)