demo - http://lab.rcmolokwu.site/foodnet/ Welcome to my Deep learning project on Nigerian Cousine recognition using Fast.ai and Pytorch

Problem statement: A lot of Nigerians, home and in diaspora have trouble recognizing their dishes, this is as a result of the diveresed culture in Nigeria, and each culture has its own norms, food, belief etc. The goal of this task was to efficiently and effectively classify Nigerian food cousine by taking a photograph of it and uploading to the server.

The dataset for this project was manually created by googling up images of different cousines using the google Image website and also taking photographs of food prepared by myself and other collegues of mine.

A total of 20 different Food cousines were arranged namely:

Rice and stew
Jollof rice
Ofe Nsala (White soup)
Egusi soup
Draw soup
Ewedu soup
Ofe Akwu (palm oil soup)
Akara
Moi moi
Bitter leaf soup (ofe Onugbu)
Nkwobi (pepper soup/goat meat)
Ora soup
Suya
Kilishi
Zobo
Beans and Yam
Yam Porridge
Noodles
Shawarma
Soaking garri

Each of this data array contained over 150 images and a total of over 3000 images with size of 700+MB. The images are hosted online on my private server and are available for public use on request.

The model got an accuracy of 82% and the model used was VGG16. I so much love VGG... It is very aggressive!

2021 Update: the link contained herein is now broken due to server cost. However, you can send me a mail (editorial@regisnotes.com) and I will share you a link to download the dataset, the notebook file, and how to set it up on render.com.