Skip to content

samanthav416/food-safety-cnn

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 

Repository files navigation

food-safety-cnn

Fresh vs Stale Fruit Image Classification

Have you ever wondered… If the fruit that’s been sitting around for a bit too long is safe to eat? If the fruit at the supermarket really does look funny?

Well, you wouldn’t be alone!

“The biggest thing that affects the shelf life of the fruit is the type of fruit or vegetable itself, plus the time spent in the supply chain (storage, transport) from when it was picked. Some different families of fruits and vegetables simply just last longer, like potatoes, apples, carrots, garlic, lemons, and oranges. These varieties if stored correctly, can be eaten for up to a month or in some cases longer.” - [Source]

Goal:

Using a dataset containing 14.7k images of fresh and stale fruit, build a convolutional neural network to determine whether a fruit can be safely eaten.

Dataset Overview:

Contains images of various fruits, sourced from Kaggle Consists of 14.7k images, categorized into fresh and stale classes. Each image is labeled with one of 12 classes representing different types of fruit and freshness.

About

Fresh vs Stale Fruit Image Classification

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published