This repository contains models, evaluation code, and training code on datasets from our paper. If you would like to run our pretrained model on your image/dataset see (2) Quick start. Jun 20th 2020 ...

Abstract: Esca is one of the most common grape leaf diseases that seriously affect grape yield, causing a loss of global production in the range of 20%–40% ...

In order to run this toolbox you will need: Python3 (tested with Python 3.7.0 on Debian 8.1) PyTorch deep learning framework (tested with version 1.0.0) All the rest (data + networks) is automatically ...

On Thursday, Google and the Computer History Museum (CHM) jointly released the source code for AlexNet, the convolutional neural network (CNN) that many credit with transforming the AI field in 2012 ...

In recent years, the exploitation of three-dimensional (3D) data in deep learning has gained momentum despite its inherent challenges. The necessity of 3D approaches arises from the limitations of two ...

Various pre-trained deep learning models for the segmentation of bioimages have been made available as developer-to-end-user solutions. They are optimized for ease of use and usually require neither ...

I am Python developer and a Data Science Enthusiast. A technology freak who loves to write!! Drowsiness detection is a safety technology that can prevent accidents that are caused by drivers who fell ...