Overview
flutter_vision is a Flutter plugin that enables object detection and segmentation using YOLOv5, YOLOv8, and YOLOv11 models via LiteRT (TensorFlow Lite). It supports both Android and iOS platforms, offering efficient on-device inference for computer vision tasks. The plugin is designed for developers integrating real-time image analysis into mobile apps, with ongoing development to enhance functionality and performance. It's particularly useful for applications requiring fast, accurate object recognition and localization directly on the device.
Use cases
- Real-time object detection in mobile apps
- Image segmentation for augmented reality
- On-device OCR and visual analysis
- Mobile-based surveillance systems
- AI-powered photo tagging
Key features
- Supports YOLOv5, YOLOv8, and YOLOv11 models
- Uses TensorFlow Lite via LiteRT for optimized performance
- Cross-platform Android and iOS compatibility
- Lightweight and suitable for mobile deployment
- Built-in support for object detection and segmentation
Suitable for
- Mobile app developers working with AI vision
- Teams building on-device computer vision features
- Projects requiring low-latency inference
- Developers targeting Android and iOS with minimal setup
- Prototyping AI-powered camera applications
Considerations
- Still under active development
- Limited documentation available
- Performance depends on device hardware
- Model size may affect app bundle size
- iOS integration may require additional configuration