Imo is a image classification website. Users can easily upload their images and get instant results about the image's content, allowing them to organize their collections more efficiently.
Users can upload one or more images to Imo, and the website will classify them into their respective categories using the VGG-16 convolutional neural network. VGG-16 is a deep neural network that consists of 16 layers and is commonly used for image recognition tasks due to its high accuracy and performance.
- Available Soon ...
- Language: Python, Javascript, HTML, CSS
- Framework: Django
- Library: Keras, Numpy, Pillow
- Model: VGG-16
Clone the project
git clone https://github.com/rupam-seal/imo.gitGo to the project directory
cd imo
Install Python 3.8 (In order to run the project on local mechine we need to install python 3.8)
https://www.python.org/downloads/release/python-3816/
Go to python 3.8 path on windows
C:\python38
Install virtual env (Make sure you are on the python38 path)
python.exe -m venv ./PATH_WHERE_TO_INSTALL/venv
Install Dependencies
pip install -r requirements.txt
Run server
py manage.py runserverFor support, email [email protected]