visual-recognition-coreml
Classify images offline on iOS using Watson Visual Recognition trained models and Apple's Core ML framework.
What is visual-recognition-coreml?
Visual Recognition with Core ML is an iOS sample project that demonstrates how to use IBM Watson Visual Recognition models for offline image classification on Apple devices. It provides working Xcode projects that show how to integrate pre-trained or custom-trained Core ML models into iOS apps, enabling on-device image recognition without internet connectivity.
iOS developers who need to add offline image recognition capabilities to their apps, particularly those already using or interested in IBM Watson's visual AI services.
It offers a production-ready reference implementation that combines Watson's robust visual recognition models with Apple's efficient Core ML framework, providing privacy-preserving, low-latency image classification directly on iOS devices.
Overview
Classify images offline using Watson Visual Recognition and Core ML
Use Cases
Best For
- Adding offline image recognition to iOS apps
- Integrating Watson Visual Recognition models into mobile applications
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