25+ Resources for Watson Visual Recognition

This list is being continuously updated. Last update: April 17, 2018.

Want to quickly and accurately tag, classify and train visual content using machine learning? We’ve compiled a list of tutorials, tips, and resources below to get started with Watson Visual Recognition.

Getting Started:

Not sure where to begin? Our service homepage has all of the info, resources, and links to get you to the right places.

Service Homepage
Demo
Pricing
Documentation
API Reference
Watson Studio

Case Studies & Use Cases:

Want to see how some of our customers are using Watson Visual Recognition? Check out our case study writeups and press coverage below.

OmniEarth — satellites
Aerialtronics — drones
BlueChasm — videos
iTrend — social media
ESA — robotics
US Open — videos
Wimbledon — videos
Grammys — fashion

Tutorials & Best Practices:

Need tips or examples on how to get the most out of Watson Visual Recognition? Check out our ever-expanding list of Medium posts:

Training models with Watson Studio
Getting started with Watson + Core ML
Stacking Multiple Custom Models
Create a Calorie Counting App
Watson Visual Recognition & Twilio
Best Practices for Custom Models
Image preprocessing techniques

Code Patterns:

Looking for a technical, step-by-step guide for creating a specific app or project? Our Code Patterns come with hands-on videos and ready-to-go Github repos.

Deploy a Core ML model with Watson Visual Recognition
Classify vehicle damage
Analyze industrial equipment for defects
Create an Android calorie-counter app

Additional resources:

Have a feature request? Reporting a bug? Want early access to private beta features? Visit our portals and forms below to give feedback.

Feature Requests / Suggestions
Text Model (Private Beta) — Request Access

Questions? Comments? Working on your own Watson projects? Let us know in the comments below, and don’t hesitate to reach out!