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

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 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

Machine Learning Based Project for Image Classification & Video Processing .

This repository consists of models of CNN for classifying different types of charts. Moreover, it also includes script of fine-tuned VGG16 for this task. On top of that CradCAM implementation of fine-tuned VGG16.

Face Recognition with VGG and Resnet model by using Transfer learning.

fine tuning vgg16 and inception v3

In this project, we propose a cervical cancer detection and classification system using CNNs . We employ transfer learning and fine-tuning for enhanced performance. Classifiers like ELM and AE are added to increase the efficiency.

Using VGG16 feature extractor with Scikit-learn Support Vector Machine to train the model to classify dogs and cats. Model accuracy: 94.71%

Dog Breed Classification (Project done under Udacity)

This project implements a Face Recognition Attendance System utilizing the VGGFace model for face embedding extraction and recognition.

ML model for Crop Detection

Deployment of the Omdena Algeria Chapter

CNN-RNN image captioning system using TensorFlow/Keras with VGG16 feature extraction and LSTM decoder. Interactive Streamlit web app for real-time caption generation from uploaded images, trained on Flickr8k dataset with BLEU score evaluation.

Using transfer learning on pretrained image models to learn density map generation and count the number of people in an image.

Used to detect whether the person is wearing a mask or not