The effectiveness of an image classification system depends on the following two key components: 1) the feature learning module and 2) the classification module. A well-designed loss function can not ...

In this fast-paced tutorial, I’ll walk you through exactly how to do it step-by-step using Sora for stylized image generation and Hailuo AI for animation. And if Ghibli isn’t your vibe?

In this article, we propose a privacy-preserving image classification method that uses encrypted images and an isotropic network, such as the vision transformer. The proposed method allows us not only ...

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 ...

This study introduces an ensemble classification framework to detect and grade diabetic retinopathy into 5 classes leveraging the concepts of transfer learning and data fusion. It utilizes three ...

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 ...

Qualcomm has demonstrated the ability for Android phones to generate AI images within seconds using simple text prompts. The chipmaker was able to create a 512 x 512 pixel image of a warrior cat ...

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 ...