A tool for classifying an image into a disaster type, utilizing Python
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Updated
May 19, 2024 - Jupyter Notebook
A tool for classifying an image into a disaster type, utilizing Python
Neural style transfer is a process of transferring style from an image to another using deep learning.
The repo contains an implementation of a diagnostic tool used to classify chest related x -ray images of diseases such as Tuberculosis and Pneumonia. To develop the tool, VGG-19 pretrained model from imagenet was used.
Neural Style Transfer is one of the latest and most fascinating Deep Learning based application, in which we transfer style of one image to the content of another image using deep learning based on VGG-19 architecture. The result is a new image that combines the content of one image with the style of another.
Detected the crop diseases and differentiated between various crop diseases for a particular plant. Worked with appropriate neural network image classification algorithms like CNN, Inception-V3, VGG-16. and VGG-19
Prediction of cancer using Image Classification of Chest Xray scans.
VGG-19 Signature Verification using Transfer Learning
Este projeto contém dois classificadores de imagens. O primeiro utilizando extração de características e o segundo utilizando fine-tunning.
A web application that classifies an uploaded image into a disaster type, utilizing Angular
This is the repository for the course Computational Imaging project with the subject: Combination of Convolutional Neural Network and Markov Random Field for image synthesis.
COVID-19 Detection From X-ray Images Using Deep Learning
A datathon to build a model to scan the image of an eye of a patient and find if the gender of the patient is male or female.
Fully automated end-to-end framework to extract data from bar plots and other figures in scientific research papers using modules such as OpenCV, AWS-Rekognition.
This example projects demonstrate the use of Style Transfer in python, Android and etc.
Transfer style of an image to another using Convolutional Neural Networks.
Implementation of Image Style Transfer using PyTorch
A computer vision program which uses a convolutional neural network to find and enhance patterns in images, thus creating a dream-like hallucinogenic appearance in the deliberately over-processed images.
This repo is about Transfer Learning Implementation using pretrained models(VGG16 & VGG19)
Implementation of 2D Neural Style Transfer in a manner proposed in an original paper, along with optimization for preserving content image colors.
My university final year project 'An Implementation of Multiple Improvements to Neural Style Transfer.'
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