Image Classification - The Visual Way

Image Classification - The Visual Way

This course is for anyone who wants to learn how to use the Dataiku DSS plugins to classify images.

About this course

 

(add any required notes at the top)

Image Classification: The Visual Way is designed to provide a hands-on overview of basic image classification concepts and tasks so that you can use a plugin to visually classify images in DSS. Completion of this course will enable you to move on to more advanced courses.


Throughout the lessons, we will classify images into two animals from the family Felidae: lions or tigers, to illustrate the basics steps to classifying images with the Dataiku DSS plugin. Before each hands-on section, you will have a chance to grasp each new concept by watching a short video.


We will provide you with a compressed file that contains a folder with Images to classify, a folder with Images for retraining, and a Python script. Then, we’ll learn how to analyze and understand our model with Tensorboard, and even extend image classification to images within images (object detection).

Let’s get started!

 

Learning Objectives

At the end of Image Classification: The Visual Way, you will be able to:

1 - Install the deep learning for images plugin

2 - Classify images with a pre-trained model

3 - Perform image feature extraction

4 - Analyze and understand your model using Tensorboard

5 - Perform object detection

 

Course Properties

Course Title

Image Classification: The Visual Way

Target Audience

Anyone who uses or wants to learn how to classify images using the plugin in Dataiku DSS

Access Level

free / included with registration

Estimated Time for Completion

__ Minutes

Completion Criteria

Pass all the quizzes with 80%

Supplemental Materials (Y/N)

NONE

Knowledge Prerequisite(s)

NONE

Technical Prerequisite(s)

Dataiku DSS - Latest version (FREE EDITION is enough)

File - Lions and Tigers

Start by watching the course overview video and by looking at some key concept videos: Introduction to Computer Vision, Concept: Pre-Trained Models, and Concept: Image Classification.

    Register above to start learning!

 

Curriculum

  • Course Introduction
  • Introduction to Image Classification - The Visual Way
  • Introduction to Computer Vision
  • Concept: Computer Vision & Image Data
  • Concept Summary: Computer Vision & Image Data
  • Quiz: Introduction to Computer Vision & Image Data
  • Image Classification - Pre-Trained Models
  • Concept: Pre-Trained Models
  • Hands-On: Create the Project and Prepare the Data
  • Hands-On: Install the Deep Learning Plugins
  • Hands-On: Add a Pre-Trained Model to the Flow
  • Hands-On: Classify a Set of Test Images with the Pre-Trained Model
  • Concept Summary: Pre-Trained Models
  • Quiz: Image Classification - Pre-Trained Models
  • Transfer Learning
  • Concept: Transfer Learning
  • Concept: Image Feature Extraction
  • Concept Summary: Transfer Learning
  • Hands-On: Transfer Learning to Retrain the Model
  • Quiz: Transfer Learning
  • Analyzing and Understanding Your Model with Tensorboard
  • Concept: Analyzing and Understanding Your Model With Tensorboard
  • Concept Summary: Analyzing and Understanding Your Model With Tensorboard
  • Hands-On: Monitor the Re-Training of Your Model with Tensorboard
  • Quiz: Analyzing and Understanding Your Model With Tensorboard
  • Object Detection
  • Concept: Objects Within Images
  • Hands-On: Object Detection
  • Concept Summary: Object Detection
  • Untitled Lesson
  • Wrap Up
  • Wrap Up
  • Course Checkpoint
  • Tell Us What You Think
  • Course Complete

About this course

 

(add any required notes at the top)

Image Classification: The Visual Way is designed to provide a hands-on overview of basic image classification concepts and tasks so that you can use a plugin to visually classify images in DSS. Completion of this course will enable you to move on to more advanced courses.


Throughout the lessons, we will classify images into two animals from the family Felidae: lions or tigers, to illustrate the basics steps to classifying images with the Dataiku DSS plugin. Before each hands-on section, you will have a chance to grasp each new concept by watching a short video.


We will provide you with a compressed file that contains a folder with Images to classify, a folder with Images for retraining, and a Python script. Then, we’ll learn how to analyze and understand our model with Tensorboard, and even extend image classification to images within images (object detection).

Let’s get started!

 

Learning Objectives

At the end of Image Classification: The Visual Way, you will be able to:

1 - Install the deep learning for images plugin

2 - Classify images with a pre-trained model

3 - Perform image feature extraction

4 - Analyze and understand your model using Tensorboard

5 - Perform object detection

 

Course Properties

Course Title

Image Classification: The Visual Way

Target Audience

Anyone who uses or wants to learn how to classify images using the plugin in Dataiku DSS

Access Level

free / included with registration

Estimated Time for Completion

__ Minutes

Completion Criteria

Pass all the quizzes with 80%

Supplemental Materials (Y/N)

NONE

Knowledge Prerequisite(s)

NONE

Technical Prerequisite(s)

Dataiku DSS - Latest version (FREE EDITION is enough)

File - Lions and Tigers

Start by watching the course overview video and by looking at some key concept videos: Introduction to Computer Vision, Concept: Pre-Trained Models, and Concept: Image Classification.

    Register above to start learning!

 

Curriculum

  • Course Introduction
  • Introduction to Image Classification - The Visual Way
  • Introduction to Computer Vision
  • Concept: Computer Vision & Image Data
  • Concept Summary: Computer Vision & Image Data
  • Quiz: Introduction to Computer Vision & Image Data
  • Image Classification - Pre-Trained Models
  • Concept: Pre-Trained Models
  • Hands-On: Create the Project and Prepare the Data
  • Hands-On: Install the Deep Learning Plugins
  • Hands-On: Add a Pre-Trained Model to the Flow
  • Hands-On: Classify a Set of Test Images with the Pre-Trained Model
  • Concept Summary: Pre-Trained Models
  • Quiz: Image Classification - Pre-Trained Models
  • Transfer Learning
  • Concept: Transfer Learning
  • Concept: Image Feature Extraction
  • Concept Summary: Transfer Learning
  • Hands-On: Transfer Learning to Retrain the Model
  • Quiz: Transfer Learning
  • Analyzing and Understanding Your Model with Tensorboard
  • Concept: Analyzing and Understanding Your Model With Tensorboard
  • Concept Summary: Analyzing and Understanding Your Model With Tensorboard
  • Hands-On: Monitor the Re-Training of Your Model with Tensorboard
  • Quiz: Analyzing and Understanding Your Model With Tensorboard
  • Object Detection
  • Concept: Objects Within Images
  • Hands-On: Object Detection
  • Concept Summary: Object Detection
  • Untitled Lesson
  • Wrap Up
  • Wrap Up
  • Course Checkpoint
  • Tell Us What You Think
  • Course Complete