Building Custom Visual Recognition Models with Watson Studio

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Pooja Mistry

IBM Cloud Developer Advocate

AI & IoT Advocacy

@poojamakes

Agenda :

Role of AI in Retail Talk

Watson Studio Intro

Hands on Workshop

Hands on Workshop

Questions & Networking

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 Example

General Model Example 2

Food Model

Custom Model

 

So where do we train these custom models ?

Build and train AI models in one integrated environment

Let's train our own Model!



ibm.biz/visrecworkshop

 

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Twitter: @poojamakes

LinkedIn: Pooja Mistry

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