Recognizer

Features Recognizer

The camera interpreter recognizes about 1000 objects and displays their translations in 6 languages.Googles cutting-edge technology, open source platform TensorFlow lets developers easily build and deploy ML powered applications.
Recognizer utilizes TensorFlow Lite for its camera interpreter that is an open source deep learning framework for on-device inference.Recognizer utilizes MobileNetV2 hosted model.How to use Recognizer for better performance (simple user guide)?To recognize an object simply point the back camera of your smartphone onto the object with clear background.To display translations in one of six languages (Turkish, Russian, Turkmen, German, Spanish, French) simply pick your preferred language from spinner.
For better performance press the up arrow of botomsheet to display options.
Increase Threads up to 4 for faster inference time.
Switch from CPU to GPU to boost inference speed for the best results.ML powered camera interpreter (Recognizer) Features: --> Works fully offline.--> Threads and processor rendering options for better performance.--> Displays simultaneous translation and confidence percentage