Overview
A Flutter plugin that leverages Google's ML Kit for image labeling, enabling apps to detect and classify entities within images across a wide range of categories. It provides real-time analysis with on-device or cloud-based models, supporting accurate object recognition without requiring internet connectivity when using the on-device option. Ideal for applications needing visual understanding of images, such as content tagging, accessibility tools, or smart photo organization.
Use cases
- Image content classification
- Accessibility features for visually impaired users
- Photo tagging and organization
- Automated content moderation
- Visual search enhancement
Key features
- On-device and cloud model support
- Real-time image labeling
- Broad category detection
- Low-latency inference
- Easy integration with Flutter
Suitable for
- Mobile apps requiring image recognition
- Developers building accessibility tools
- Apps focused on visual content analysis
- Projects needing offline image processing
Considerations
- Requires Android 5.0+ or iOS 11.0+
- Cloud model usage incurs API costs
- Model size impacts app bundle size
- Accuracy depends on image quality
- Limited to predefined label categories