Multiclass image classification using Convolutional Neural Network

This repo contains the python codes of my final thesis "Analysis of leaf species and detection of diseases using image processing and machine learning methods".

Making a binary classifier to detect pneumonia using chest x-rays images.

Pre-trained VGG-Net Model for image classification using tensorflow

Brain tumor detection and prediction using keras vgg-16

Uses retrained MobileNetV2 classification models to determine whether an Indian currency note is fake or real (based on watermark and fluorescent strip)

Full Python Programming Tutorials with Focus on artificial intelligence and machine learning

Cough detection with Log Mel Spectrogram, Wavelet Transform, Deep learning and Transfer learning techniques

A website 🖥 that effectively classifies Covid-19, Pneumonia and Normal Chest X-ray images

Implementing the MST Research Paper in PyTorch

Visualizing the CNN Layer outputs and filters in Keras

A comprehensive collection of PyTorch implementations for the VGG (Visual Geometry Group) models

An Evaluation Metric for Object Detection Algorithms in Autonomous Navigation Systems and its application to a real-time alerting system

Face recognition using transfer learning

Skin cancer classification involves developing a model to identify and classify skin lesions as either benign or malignant based on images.

Identifying offensive content in image and text

Detection of Human Edited Images using CNN, VGG16, Xception, ELA, Ensemble Learning.

The dataset having Pneumonia and Normal chest X-Ray images were trained on different numbers of epochs to check the variability in the training and validation accuracies. The ResNet50 model with the highest and closest Training and Validation accuracies was then used for the prediction.