Artificial intelligence

Series

Learning path: Getting started with PowerAI Vision

From computer vision basics to creating your own apps

by Mark Sturdevant | Published July 12, 2019

Artificial intelligenceDeep learningVisual recognition

Level Topic Type
100 Introduction to computer vision Article
101 Introduction to PowerAI Vision Article
201 Build and deploy a PowerAI Vision model and use it in an iOS app Tutorial
202 Locate and count items with object detection Code pattern
203 Object tracking in video with OpenCV and Deep Learning Code pattern
301 Validate computer vision deep learning models Code pattern

This learning path is designed for developers interested in quickly getting up to speed on what PowerAI Vision offers and how to use it. The learning path consists of step-by-step tutorials, deep-dive videos, and complete examples of working code. As you proceed through the learning path, you will learn about more advanced features as well as different use cases for PowerAI Vision.

To get started, click on a card below, or see the table above for a complete list of topics covered.

Intro to computer vision

Article July 1, 2019

Introduction to computer vision

Read the overview »

Artificial intelligenceIBM PowerAI+

Learn about:

  • Image classification
  • Object detection
  • Object tracking in videos
  • Creating custom models
  • Using your model
  • Example use cases

Introduction to PowerAI Vision

Article July 1, 2019

Introduction to PowerAI Vision

Read the overview »

Artificial intelligenceIBM PowerAI+

Learn about:

  • Creating a data set
  • Assigning categories for image classification
  • Labeling objects for object detection
  • Training a model
  • Testing the model
  • Using it in an app

Build and deploy a PowerAI Vision model and use it in an iOS app

Tutorial May 3, 2018

Build and deploy a PowerAI Vision model

Read the tutorial »

Artificial intelligenceIBM PowerAI+

Learn about:

  • Creating a data set
  • Training a model for image classification
  • Deploying it to a web API
  • Integrating the API into an iOS app

Locate and count items with object detection

Code pattern Feb 17, 2018

Locate and count items with object detection

Start the code pattern »

Artificial intelligenceIBM PowerAI+

Learn about:

  • Creating a data set
  • Training a model for object detection
  • Deploying it to a web API
  • Testing the model with REST calls
  • Integrating object detection into a Node.js web app

Object tracking in video with OpenCV and deep learning

Code pattern May 31, 2019

Object tracking in video with OpenCV and Deep Learning

Start the code pattern »

Artificial intelligenceIBM PowerAI+

Learn about:

  • Using automatic labeling to create an object detection classifier from a video
  • Processing frames of a video using a Jupyter Notebook, OpenCV, and PowerAI Vision
  • Detecting objects in video frames with PowerAI Vision
  • Tracking objects from frame to frame with OpenCV
  • Counting objects in motion as they enter a region of interest
  • Annotating a video with bounding boxes, labels, and statistics

Validate computer vision deep learning models

Code pattern June 14, 2019

Validate computer vision deep learning models

Start the code pattern »

Artificial intelligenceIBM PowerAI+

Learn about:

  • Classifing images using an existing model and a Jupyter Notebook
  • Collecting statistics to evaluate a model
  • Visualizing model accuracy with a confusion matrix
  • Producing a variety of accuracy measure for model validation


Next: Introduction to computer vision

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