Fine-grained image classification tasks face challenges such as difficulty in labeling, scarcity of samples, and small category differences. To address this problem, this study proposes a novel ...

Image Classification is widely used in various fields such as Plant leaf disease classification, facial expression classification. To make bulky images handy, image classification is done using the ...

Android Studio, the integrated development environment (IDE) for Android app developers, is getting an AI upgrade, Google announced at its developer conference, Google I/O 2025.

Environmental images often contain mixed elements, such as forests bordering water bodies or urban areas with vegetation, which complicates the classification task. In this paper, we propose a novel ...

TensorFlow Lite Image Classification Demo Overview This is a camera app that continuously classifies the objects in the frames seen by your device's back camera, with the option to use a quantized ...

The application currently works on Android devices. The applicaiton was developed within the AndroidStudio IDE, using Java and XML for the development of the back-end and the front-end of the app ...

CIFAR-10 problems analyze crude 32 x 32 color images to predict which of 10 classes the image is. Here, Dr. James McCaffrey of Microsoft Research shows how to create a PyTorch image classification ...

One-Shot on-Device Learning for Image Classifiers Using Classification-by-Retrieval Classification-by-retrieval (CbR) is a neural network model that includes picture retrieval layers.