The project utilizes a Python-based Convolutional Neural Network (CNN) model for fruit detection and classification. It focuses on classifying fruits into 3 categories and distinguish them as FRESH or ROTTEN fruits in images through image processing. It aims for high accuracy, showing promising results for practical use.
-
Notifications
You must be signed in to change notification settings - Fork 0
The project utilizes a Python-based Convolutional Neural Network (CNN) model for fruit detection and classification. It focuses on classifying fruits into 3 categories and distinguish them as FRESH or ROTTEN fruits in images through image processing. It aims for high accuracy, showing promising results for practical use.
MitashaJ/Fruit-detection-and-classification-
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
The project utilizes a Python-based Convolutional Neural Network (CNN) model for fruit detection and classification. It focuses on classifying fruits into 3 categories and distinguish them as FRESH or ROTTEN fruits in images through image processing. It aims for high accuracy, showing promising results for practical use.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published