Model: Aniket1409/Plant_Disease_Scanner
Author: Aniket1409
Pipeline: image-classification
Library: keras
Tags: keras, plant-disease, cnn, image-classification, en, license:cc-by-sa-4.0, region:us
Card metadata: model_name: Plant Disease Scanner
model_type: Image Classification
license: cc-by-sa-4.0
description: CNN model for classifying plant diseases from leaf images, detecting 38 classes.
intended_use: Identify plant diseases, Provide treatment guides
training_data: dataset_name: Plant Village Dataset
dataset_link: https://www.kaggle.com/datasets/vipoooool/new-plant-diseases-dataset
structure: 87k RGB images of 38 types of leaves, Train: 70,295 images (80%), Valid: 17,572 images (20%)
evaluation_metrics: Accuracy, Confusion Matrix
additional_info: prerequisites: Python 3.9, Anaconda3, NVIDIA GPU, TensorFlow 2.10
installation: Follow instructions in the repository.
model_architecture: 5 x [Conv2D + MaxPooling] with Dense layers.
error_handling: Handles invalid images and missing data.
language: en
metrics: accuracy
pipeline_tag: image-classification
tags: plant-disease, cnn, image-classification
Likes: 0 | All-time downloads: 72
Created: 2025-04-14 05:55:33