The enhanced image features are used for classification with three different CNN classification models: Convolutional Neural Network (CNN), CNN with attention module (CNN-AM) and CNN with a residual ...

Production of global soil data predictions using scikit-map within the EO-SoilMapper framework. Target spatial resolution is 30 m (global coverage excluding deserts and permanent ice). Target period ...

Code for the paper "CBVLM: Training-free Explainable Concept-based Large Vision Language Models for Medical Image Classification". - CristianoPatricio/CBVLM ...

In the field of hyperspectral image classification, using spatial information as a supplement to spectral information has been widely applied. This article proposes a novel dual-scale complementary ...

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