# Fracture.v1i_Reduced_SSD From a selection of data from the Roboflow file https://universe.roboflow.com/landy-aw2jb/fracture-ov5p1/dataset/1, which represents a reduced but homogeneous version of that file, try to perform fracture detection using SSD. A version with VGG16 and another with only linear layers are presented

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

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.

We have tried to classify buildings between damaged and not damaged buildings using the satellite imagery data

End-to-end solution for container and damage detection using Faster R-CNN | Leverages PyTorch with VGG16 and ResNet50 backbones to tackle container detection and damage assessment in shipping and logistics

A simple VGG16 neural network model implemented using Tensorflow Keras functional API.

Facial Recognition Model for Gender and Age Identification

This is a public webapp hosted on streamlit to generated caption for an image.

Naruto Hand Gesture Recognition with OpenCV and Transfer Learning

Implement VGGNet from scratch using PyTorch

Example of using Image classification with VGG16 in PyQt5

Fine-tuned the VGG16 model for real-time recognition of handwritten mathematical notations, incorporating dynamic bounding boxes and multi-symbol segmentation for enhanced accuracy.

Using deep learning models to accurately classify pet images into different breeds and types, demonstrating effective image classification and model evaluation.

Final Year Project: Predicting Charpy impact test data from microstructure data using a machine learning model.

WasteAI: Snap, Sort, Succeed || Waste Segregation

This project is a Python script that helps you organise your files in a specified directory. It allows you to sort files based on their extension and move them to designated folders based on how similar 2 files are

A machine learning model for the early detection of glaucoma from color fundus photographs (CFPs), aiming to mitigate one of the leading causes of irreversible blindness

This project represents the implementation of the Enhanced Spatio-Temporal Image Encoding used in the paper "Enhanced Spatio- Temporal Image Encoding for Online Human Activity Recognition" published in the "International Conference on Machine Learning and Applications (ICMLA) 2023".

This is our capstone project for the Data Science workshop at neuefische. We worked together with the Institute of Biochemistry from the Veterinary Medical School Hanover to design an application for automated recognition and quantification of Neutrophil Extracellular Traps (NETs)