Microsoft Excel now lets you run Python scripts on images to detect sharpness, edit visuals, and analyze metadata.

Image classification algorithms are notoriously error-prone, but a novel method for spotting errors within incomprehensible AI code could help solve the problem.

This article explains how to create a PyTorch image classification system for the CIFAR-10 dataset. CIFAR-10 images are crude 32 x 32 color images of 10 classes such as "frog" and "car." A good way to ...

Posted in Artificial Intelligence, Software Development Tagged computer vision, image classification, webgpu ← Finding And Resurrecting Archie: The Internet’s First Search Engine ...

M icrosoft just announced new feature for Python in Excel that lets you analyze images in your spreadsheets. You no longer ...

An example of an image classification problem is to identify a photograph of an animal as a "dog" or "cat" or "monkey." The two most common approaches for image classification are to use a standard ...