Implementation of DCGAN for the generation of flowers.

The aim of this project is to implement an image classifier based on convolu- tional neural networks. Starting by implementing a simple shallow network and then refining it until a pre-trained ResNet18 is implemented, showing at each step how the accuracy of the model improves. The provided dataset (from [Lazebnik et al., 2006]) contains 15 cate…

COCO-Detection Dataset with cv2 and Albumentations

Python OpenCV

This project showcases a cats vs dogs image classification model using image augmentation and Keras. It employs deep learning and convolutional neural networks (CNNs) to accurately classify images of cats and dogs.

TNNLS 2024 submission. VerDisGAN and HorDisGAN which control the variation degrees for generated samples

Code corresponding to our MICCAI SASHIMI 2019 paper on shape-constrained skin lesion image synthesis.

Image augmentation extension for the image-dataset-converter library.

Built and trained a convolutional neural network for end-to-end driving in a simulator, using TensorFlow and Keras. Used optimization techniques such as regularization and dropout to generalize the network for driving on multiple tracks.

Image augmentation for machine learning experiments.

Image augmentation for machine learning experiments.

Implementation notebook of Image Classification and Image Segmentation in Python on Warwick-QU GlaS Dataset.

This is a plugin tool for your project to impliment your coustom image processing algorithms

Academic Machine Learning (6 months) Sessional Project

Classification of Sober and Intoxicated Faces using Image Analysis

Copyout and CopyPairing implementation

충남대학교 인공지능 강의 팀 프로젝트 - Convolutional Neural Network를 이용한 감정 분류 기법

Convolutional Neural Network (CNN) with image augmentation project to classify hand image of rock, paper, and scissors

Submission - Last Project : Image Classification - Machine Learning for Beginners - Machine Learning Path - DICODING