A cat dog classifier in Flutter

Cat vs Dog Classification using SVM and KNN Classifiers from the Sklearn Library

Cat-Dog Image Classifier using CNN, Deployed with Flask on Heroku

In the project, within the scope of the Computer Vision course with the code 02010012 given by the Faculty of Computer Engineering, cat and dog classification was made with the VGG-16 architecture.

基于VGG的猫狗分类模型以及前后端分离架构的代码实现

The purpose of this project is to train a model that can classify images of dogs and cats into two separate classes.

A CNN image classification model

Classification Model을 직접 만들어본다.

Image classification for dogs and cats with VGG-16 using PyTorch. Model accuracy: 99.6%. Classification API included

공부 겸 따라 만든 강아지, 고양이 분류해주는 사이트

Using Edge Detection > PCA > FDA

Welcome to my GitHub repository! Here, you will find my solutions and code for various Kaggle competitions that I have participated in. As a current expert in Kaggle, I have worked extensively on multiple competitions, utilizing advanced techniques in data analysis, machine learning, and deep learning to achieve competitive results.

Mini Project-III: Different type of Cat-Dog Binary Image Classification & also Multi-class classification on dogs breeds

Collection of codes of Pattern Recognition college course