New research suggests that watermarking tools meant to block AI image edits may backfire. Instead of stopping models like ...

Using the APTOS 2019 Blindness Detection dataset, which includes diverse, labeled retinal images, we train, test, and benchmark deep learning models under standardized conditions, employing Python ...

Abstract: Since convolutional neural networks (CNN) can extract deeper features from hyperspectral images ... model, J-NHPR, can provide comparative advantage (in terms of classification accuracy) ...

Leveraging a dataset from Kaggle, the pipeline includes preprocessing, model architecture design, performance evaluation, and testing on new cases. This project is an image classification ... CNN and ...

To implement and generate our convolutional neural networks, we used the Python programming language ... we have proposed a novel method for image-based date palm species classification using a ...

This code pattern demonstrates how images, specifically document images like id cards, application forms, cheque leaf, can be classified using Convolutional Neural Network (CNN ... model. IBM Watson ...