Classify Chest X-ray image to pneumonia or normal.

This project utilizes transfer learning with the VGG16 model to perform classification tasks on a custom dataset. [AI Engineer]

🏥 Классификация пневмоторакса

This repository showcases a comprehensive approach to fashion image classification using the Maryland Fashion Dataset. It includes four scenarios: building a CNN from scratch, leveraging transfer learning with VGG16, fine-tuning the VGG19 model, and implementing an autoencoder for image representation. Each scenario demonstrates various techniques.

This repo contains my bachelor's thesis in computer engineering, which is about implementing a system to detect and recognize faces in videos, with online learning.

Contains Deep Learning Content and Algorithm. ANN_CNN_RNN(LSTM-GRU)_AUTOENCODER

Image caption generator using VGG16 and XCeption for feature extraction and LSTM for generating captions from the Flickr8k dataset

This repository contains a fashion recommender system using transfer learning. Based on the "Image Based Recommender System using Transfer Learning" paper, the system uses VGG16 and cosine similarity to recommend visually similar fashion items. It works with the Fashion Product Images (Small) dataset from Kaggle.

Fruit Recognition using CNN and Pre-trained Models (ResNet, VGG16, VGG19, Inception): A comprehensive deep learning project showcasing multiple approaches for classifying fruit images using custom CNN and state-of-the-art pre-trained models.

Developed a deep learning-based project to classify FSK signals from NON-FSK signals

This repository hosts all the scripts used in the implementation of bird detection models. We are using Convolutional Neural Networks(CNN)'s Faster R-CNN, Single Shot Detector(SSD), and YOLOv3 meta-architectures while utilizing ResNet-101, MobileNet, Inception ResNet v2 and VGG-16 feature extraction Networks (backbone network).

Base on tensorrt version 8.2.4, compare inference speed for different tensorrt api.

Build Model Covid-19 Xray using CNN & Transfer learning

Deep learning-based image captioning with Flickr8k dataset. Code includes data prep, model training, and a Streamlit app.

Depression Detect is a web app which enables clinicians to use sensing technologies with a focus on acoustic characteristics and facial landmarks to detect depression.

This repository contains applications of various Image Classification and Object Detection models

An AI initiative project, the Maltese Christian Statue (MCS) Classifier preserves and celebrates Maltese religious culture by accurately classifying 13 distinct categories of Christian statues, fostering deeper understanding and appreciation for the Maltese Culture.

A TensorFlow-based project to perform face recognition using images captured from a PC camera. It incorporates data augmentation techniques and builds a neural network based on the VGG16 model for facial detection. The system is capable of real-time face recognition in video streams.

This project focuses on detecting lung cancer from medical images using Convolutional Neural Networks (CNNs). It includes custom-built CNNs and fine-tuned pretrained models such as ResNet101, DenseNet121, AlexNet, and VGG16 to improve detection accuracy.