Artificial IntelligenceDeep LearningMachine LearningVision
By Benin Saffo, Anamita Guha Published February 7, 2019
THINK 2019 is here! The IBM Watson Visual Recognition team is gearing up and headed to San Francisco. We have a lot of exciting labs, panels, and sessions that are focused on computer vision that will greatly expand your skill set. Get ready to explore the technology with Watson Visual Recognition across multiple industries such as automotive, manufacturing, energy & utilities, and more. We’ve listed all of our activities below for your convenience!
Last year, IBM announced our partnership with Apple on Apple Core ML, a foundational machine learning framework that lets you integrate machine learning models into your iOS app. Watson Visual Recognition is a great application to use for visual inspection, damage analysis, and retail. Watson services on IBM Cloud provide rich and relevant insights from various data sources to applications. The IBM approach to data and privacy with Watson ensures that client data and insights are not shared. We are excited to collaborate with SMEs, developers, and future clients to continue growing our product. Check out some of the following resources and learn more.
Providing accessibility and flexibility, whether you’re looking to get started right away with IBM models or custom train your own model, we offer options for everyone. You can even build apps that use Watson models on iOS devices with Core ML, even when offline.
If you’re attending THINK, here are 5 sessions you definitely do not want to miss:
There are over 25 computer vision-related sessions during THINK. Take a look at all of the events.
Look at the quick start sample code
Create your custom model using Watson Visual Recognition and Core ML
View Core ML content
Visual Recognition documentation
For any code-related questions, feel free to reach out to Josh Zheng at email@example.com.
IBM Watson Visual Recognition
Apple’s overview of IBM Watson Services for Core ML
Autoglass BodyRepair case study
Amica case study
For any business-related questions, feel free to reach out to Amit Das at firstname.lastname@example.org.
We hope to see you there!
Learn how to build a custom Visual Recognition model.
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