Agenda :

Role of AI in Retail Talk - Milton Papas

Watson Studio Intro

Hands on Workshop

Hands on Workshop

Understanding of Use Cases

Questions and Networking

What is Watson Visual Recognition

Pre Trained Model :

• General model: Default classification from thousands of classes.
• Explicit model: Whether an image is inappropriate for general use.
• Food model: Specifically for images of food items.
• Text model (Private beta): Text extraction from natural scene images.
   

Requires training:

• Custom model: Train a custom classifier by providing positive and negative images.

General Model

•Animals (including birds, reptiles, amphibians, etc.)

•Person and people-oriented information and activities

•Food (including cooked food and beverages)

•Plants (including trees, shrubs, aquatic plants, vegetables)

•Sports

•Nature (including many types of natural formations, geological structures)

•Transportation (land, water, air)

•And many more, including furnishings, fruits, musical instruments, tools, colors, gadgets, devices, instruments, weapons, buildings, structures and man-made objects, clothing and garments, and flowers, among others.

General Model Example

General Model Example 2

Custom Model

Custom Model Example 2 

So where do we train these custom models ?

Build and train AI models in one integrated environment

IBM Watson Studio

Let's Get Started!

ibm.biz/visrecworkshop

IBM Code Patterns

developer.ibm.com/patterns

Thank You!

Please Visit : developer.ibm.com

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