Using Edge Detection > PCA > FDA
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Updated
Jan 2, 2020 - Jupyter Notebook
Using Edge Detection > PCA > FDA
Cat vs Dog Classification using SVM and KNN Classifiers from the Sklearn Library
Cat-Dog Image Classifier using CNN, Deployed with Flask on Heroku
The purpose of this project is to train a model that can classify images of dogs and cats into two separate classes.
A cat dog classifier in Flutter
Mini Project-III: Different type of Cat-Dog Binary Image Classification & also Multi-class classification on dogs breeds
Classification Model을 직접 만들어본다.
A CNN image classification model
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.
Image classification for dogs and cats with VGG-16 using PyTorch. Model accuracy: 99.6%. Classification API included
Collection of codes of Pattern Recognition college course
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.
基于VGG的猫狗分类模型以及前后端分离架构的代码实现
Image Classification with DINOv2
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