You're taking a new programming class this fall, and you don't know anything about code. Python is taught widely in schools, and it's one of the most loved programming languages because it's simple.

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

The classification branch is based on traditional image classification methods. Still, it improves the cross-entropy loss to develop a dynamic adaptive loss, enabling the model to learn ...

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 ...

However, image classification neural networks are limited to categorizing images and are unable to locate or identify the position of targets within the image. In the context of weed detection, while ...

Abstract This research introduces an innovative approach to image classification, by making use of Vision Transformer (ViT) architecture. In fact, Vision Transformers (ViT) have emerged as a promising ...

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

Mahotas is an advanced python library for image processing and computer vision that offers advanced functionalities like thresholding, convolution, morphological processing, and much more.

In this repository, I put into test my newly acquired Deep Learning skills in order to solve the Kaggle's famous Image Classification Problem, called "Dogs vs. Cats". This repository contains code for ...