Year: 2020
Type: article
Abstract: Image classification is the task of identifying an image. Android image classification model is trained to recognize various classes of images. For example, we may train a model to recognize photos representing three different types of animals: rabbits, hamsters, and dogs. Optimized pre-trained models are provided byTensor Flow Lite that we can deploy in our mobile applications. Simple Machine Learning (ML) algorithms in Python make relatively easy to start explore datasets and make some first predictions. We can make these trained models useful in the real world by making them available to make predictions on either the Web or Portable devices.
Author: Piyush Bansal and Saurabh Gautam
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W3111242776