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New language has been added. Enhancements of a model accuracy.
ML powered camera interpreter that recognizes about 1000 objects.
The camera interpreter recognizes about 1000 objects and displays their translations in 6 languages. Google's 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
past month, based on 1 day
Downloads
Low confidence2
From install count ÷ months since release
In-app revenue
$0
No in-app purchases
Ads
$0
$0 – $1
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Total
$0
In-app + ads
Google Play only. Downloads from daily Top free ranks (or the store's install count); in-app revenue from Top grossing ranks, calibrated on AppTweak's US estimates, or else from downloads; ads from public ad benchmarks. Not reported figures.