AI photo tagging app

1. 1Build a simple AI photo tagging app using vision ML models
2. 2Test models in real-world situations before deploying on embedded platforms
3. 3Configure the app to collect and label data for model training
4. 4Run the app on a variety of images to evaluate model performance
5. 5Compare results with static dataset accuracy to identify areas for improvement

Machine learning engineers and data scientists can benefit from this app to improve model accuracy and deployment results

💡 Testing ML models in real-world situations can significantly improve deployment results

New AI photo tagging app helps ML engineers test vision models in real-world situations #AI #ML #ComputerVision