Project ,

Face Detection using OpenCV

Course
Curriculum

What will you Learn in the Project?

  1. Neural Network
  2. Neural Network with Keras
  3. Data Cleaning Neural Network
  4. Digit Classification with CNN
  5. Object Detection with CNN
  6. Image Processing with OpenCV
  7. OpenCV Examples
  8. YOLO with OpenCV

Requirement

This course does NOT cover the theory part so it assumes that you know the theory of Computer Vision.

 

Description

This course contains 8 Demos and 2 Industry standard project with self-paced solution explainer and code files/datasets.

Demos:

  1. Neural Network
  2. Neural Network with Keras
  3. Data Cleaning Neural Network
  4. Digit Classification with CNN
  5. Object Detection with CNN
  6. Image Processing with OpenCV
  7. OpenCV Examples
  8. YOLO with OpenCV

Project-1

Object Detection & Classification using CNN

Dr. Path Labs wants to build a system, which can help detect skin cancer in a patient by detecting skin cancer pictures of patients. Your work is to study the data and create an object detection & classification model that can predict the mole type of the image as benign or malignant.
 

Project-2

Face Detection using Open CV

Your work is to study the data and create a face detection model that can detect the face of the person in the image with a bounding box.

Who this course is for?

1. College Freshers
2. Anyone who wants to see what are the use cases where Computer vision applies and how to implement various concepts
3. Any one who wants to start their journey in Computer vision

Course Content

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or 99₹ 999
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Skills you will develop

Open CV

nltk library

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