CNN Project
A Convolutional Neural Network (CNN) is a type of Deep Learning neural network architecture commonly used in Computer Vision. Here, you will find some of my recent projects that showcase my engineering skills and experience.
01
Images to Monet-styled Images using CycleGAN
Created a CycleGAN model that will capture monet-style and create input-image to monet-style.
Actual Image
Generated Image
02
Explainable AI on Digit Recognition
To create a CNN model to detect digits in an image and furthermore use Shap Explainer to explain why an image is classified in that class.
03
Explainable AI on Cats and Dogs Classification
The goal is to make a CNN model that can correctly tell if a picture shows a cat or a dog. Also, the Shap Explainer will be used to show how the model decided to classify each picture.
04
Facial Landmarks Detection Library
An easy library to get real-time facial landmarks at normal fps (30 fps) and can be saved on your pc, all just by calling one function.
05
Multi-Object Detection in a Image
In this project, I have been working on how to detect multiple objects like multiple cars in a single image like Yolo.
