IBM Watson Visual Recognition
Advance Worshop
Visual Recognition is is already used broadly, from detecting a specific type of plants, counting chickens, automatic processing of car damage claims in insurance or for self-driving cars to give a few examples.
This repository contains the exercices of the IBM Watson Visual Recognition Advance Workshop
This workshop of 1 day and half allows clients and partners to understand how IBM Watson Visual Recognition on IBM Cloud can augment existing applications by providing cognitive capabilities.
The workshop includes lectures, discussions on how Watson Visual Recognition service works, and hands-on exercises that participants can use to better understand what the service does, what it doesn’t do, and how it works so that students can accurately identify opportunities where Watson Visual Recognition will add value to potential solutions.
During this workshop we'll look at a few examples and talk about the algorithms that are under the hood of Visual Recognition services. Then it'll be your time to get your hands-on one of this service and create your own solution
At the end of this workshop, students will have covered the following topics:
- Visual Recognition Challenges & Use Cases
- Visual Recognition Out-of-the-box Tooling
- Visual Recognition defaults models with Out-of-the-box tools
- Custom Model considerations
- Creating custom models with Out-of-the-box tools
- APIs and development tools for Visual Recognition
- Develop Visual Recognition applications with Node-Red
- Existing usages and extended considerations
Participants material is available on : http://ibm.biz/WVRAdvance
References :
This workshop has been created based on various sources
https://console.bluemix.net/docs/services/visual-recognition/getting-started.html#getting-started-tutorial https://console.bluemix.net/docs/services/visual-recognition/tutorial-custom-classifier.html#creating-a-custom-model https://watson-developer-cloud.github.io/watson-vision-coreml-code-pattern/ https://github.com/IBM/watson-vehicle-damage-analyzer https://github.com/hanleyweng/CoreML-in-ARKit
and William Griffith's lab
Thanks to all the contributors