https://github.com/jojocoder28/vgg16_plant_disease
https://github.com/jojocoder28/vgg16_plant_disease
Last synced: 9 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/jojocoder28/vgg16_plant_disease
- Owner: jojocoder28
- Created: 2024-01-09T07:11:45.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-01-09T08:26:34.000Z (over 2 years ago)
- Last Synced: 2025-03-15T20:26:11.124Z (over 1 year ago)
- Language: Jupyter Notebook
- Size: 414 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# vgg16_plant_disease
* Dataset : New Plant Disease Dataset
This dataset consists of about 87K rgb images of healthy and diseased crop leaves which is categorized into 38 different classes. The total dataset is divided into 80/20 ratio of training and validation set preserving the directory structure. A new directory containing 33 test images is created later for prediction purpose.
Link : https://www.kaggle.com/datasets/vipoooool/new-plant-diseases-dataset
* Pre-processing
At first tomato leaves are selected for the work. Then the backgrounds have been removed of all the images and then backgrounds have been blurred to make the pre-processed dataset. After that patch selection has been applied to the images to select the needed patches from the images.