Dog Breed Classification Web Application!

Frontend : React.js (https://dog-bleed-classification.netlify.app)

Backend : Flask

Demo video : https://drive.google.com/file/d/1BZGSqmgK2kHXNFoz5YvToSFUmD0jgRa7/view?usp=sharing

Requirements

You need to install Node.js.

Getting Started for Frontend

Install necessary dependencies for the frontend React.js and run the development server for frontend. You can also use this deployed web for the frontend. URL: (https://dog-bleed-classification.netlify.app)

cd Frontend
npm install
# or
yarn install

# then run the frontend server
npm run dev

Download datasets

!wget -q https://gitlab.com/atlonxp/siit-deep-learning/-/raw/main/dogImages.zip -O dogImages.zip

!wget -q https://gitlab.com/atlonxp/siit-deep-learning/-/raw/main/lfw.zip -O lfw.zip

!wget -q https://gitlab.com/atlonxp/siit-deep-learning/-/raw/main/DogXceptionData.npz -O bottleneck_features/DogXceptionData.npz

# Yolo

!wget "https://pjreddie.com/media/files/yolov3.weights"

!wget "https://raw.githubusercontent.com/pjreddie/darknet/master/cfg/yolov3.cfg"

Unzip datasets

!unzip -qq dogImages.zip
!unzip -qq lfw.zip
!rm -rf __MACOSX/

Getting Started for Backend

Install necessary dependencies for the backend Flask and run the development server for backend

cd Backend
pip install flask
pip install flask-cors
pip install tensorflow
pip install pillow
pip install opencv
pip install numpy
pip install tqdm

# then run the backend server
python server.py

Team and Contribution

Pattarapol Wangnirun 6322770981

Boonyakorn Rathasamuth 6322771047

Kanyapat Thanee 6322771427

Theerawuth Udomponglukkana 6322772516

Department of Information, Computer and Communication Technology (ICT), Sirindhorn International Institute of Technology (SIIT), Thammasat University, Khlong Luang, Pathum Thani, Thailand