Flask Blueprint & RESTful application with various image classification models.

An image classification algorithm using CNN in Pytorch

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

Deploy a pre trained(tf) model using TensorFlow serving and Flask

Cats-and-Dogs-Classification-using-CNN

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

Flask app for Classification of Dog/Cat using (CNN) with transfer learning @MobileNetV2

本项目基于TensorFlow训练了一个CNN模型，开发了一个简易的猫狗识别器。整个项目较好体现了面向对象思想，相信有点编码基础的同行能够非常快速地理解整个代码结构。ReadMe中具有详细的最终效果，博客讲解链接、参考教程等详细信息。

Cat and Dog classifier made using fine tuning InceptionV3 (Transfer Learning)

Task 3 of the Prodigy InfoTech ML internship which involves Implementing a support vector machine (SVM) to classify images of cats and dogs.

MATLAB Cat-Dog Classifier

This repository is best fit to get started with pytorch. It contains notebooks with implementation of cat and dog classifiers in simple using ANN (CNN). Purpose is to get the basic understanding of pytorch with training and validation and dataset class implementations don't mind the accuracy.

CNN-based image classifier for cats and dogs using TensorFlow

This project uses Transfer Learning to train a Model which classifies Cats and Dogs

Using VGG16 feature extractor with Scikit-learn Support Vector Machine to train the model to classify dogs and cats. Model accuracy: 94.71%

Pytorch Model to classify cats and dogs images

Hi! I’m Aniq Usman, 11 years old. Using Deep Learning and Python, I built a convolutional neural network that can classify images into two categories: cat or dog. Feel free to suggest improvements and share my code so others can learn to code too!

Training a keras model to recognize real images of cats and dogs in order to classify an incoming image as one or the other.