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📦 lite_vision_ai — Flutter TensorFlow Lite Image Classification Library #

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README.md #

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🧠 LiteVision AI #

A simple, lightweight Flutter library for TensorFlow Lite image classification.
Load your .tflite model, classify images, and retrieve predictions in just a few lines of code!

🚀 Features #

✅ Load any TensorFlow Lite model
✅ Classify local images directly from device storage
✅ Retrieve top predictions with confidence scores
✅ Works seamlessly on Android, iOS, and desktop (with proper setup)
✅ Minimal and developer-friendly API design

🧩 Example Usage #

import 'dart:io'; import 'package:lite_vision_ai/lite_vision_ai.dart';

void main() async { final vision = LiteVisionAI(); await vision.load( model: 'assets/models/model.tflite', labels: 'assets/models/labels.txt', ); await vision.classify(image: File('assets/test_image.jpg'), top: 3); print('🧠 Top Label: ${vision.name}'); print('🎯 Confidence: ${vision.accuracy.toStringAsFixed(2)}%'); print('📊 All Predictions: ${vision.predictions}'); }

📦 Installation #

dependencies:
  lite_vision_ai: ^1.0.0
  
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