VGG-16 Model to Segment Rooftops from Aerial Imagery

This Project focuses on building an Object detection model that detects Litter from two geographical locations: Falkirk, Scotland and Punalur, India

Classifies the cifar-10 database by using a vgg16 network. Training, predicting and showing learned filters are included.

Posting with images SNS (like Instagram). Analyze the image posted there and recommend the user.

This is a Brain Tumor Detection System where multiple types of Deep Learning Neural Networks like CNN and CNN VGG16 have been used to tune, train and test for achieving highest possibility of accuracies.

Simple application of VGG16 for the recognition of images, obtained from LFW, of a limited number of famous(15) with good performance (greater than 80%)

This repository contains trained model, the training script and the dataset for Transfer Learning CNN model to recognize Bugatti La Voiture Noire.

Simple VGG16 classifier using Keras and Streamlit for quick application

Image classification with VGG16. The project is in the process of finalizing and improving.

CarND Semantic Segmentation

Academic Project for Pattern Recognition and Neural Networks Course

Consists of image classification using Vgg-16

A basic introduction to learning CNN through applications of VGG models.

Classification model for COVID CT scans

Bone fracture or Implantation can be classified. The classification uses VGG16 architecture.