Open AccessAndroid Image Classifier
Author(s) -
Piyush Bansal and Saurabh Gautam
Publication year - 2020
Publication title -
international journal of modern trends in science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-3778
DOI - 10.46501/ijmtst061250
Subject(s) - computer science , python (programming language) , android (operating system) , artificial intelligence , classifier (uml) , machine learning , android application , pattern recognition (psychology) , computer vision , operating system
Image classification is the task of identifying an image. Android image classification model is trained torecognize various classes of images. For example, we may train a model to recognize photos representingthree different types of animals: rabbits, hamsters, and dogs. Optimized pre-trained models are providedbyTensor Flow Lite that we can deploy in our mobile applications. Simple Machine Learning (ML) algorithmsin Python make relatively easy to start explore datasets and make some first predictions. We can make thesetrained models useful in the real world by making them available to make predictions on either the Web orPortable devices.