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Corn Leaf Detector
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Corn Leaf Detector

Developed by Prachi1234
A corn leaf detection model based on ViT architecture, achieving 91.54% accuracy on the evaluation set
Image Classification
Transformers
Open Source License:Apache-2.0#Corn Leaf Identification#High Accuracy Detection#Agricultural Image Analysis
Downloads 37
Release Time : 1/25/2023

Model Overview

This model is a fine-tuned visual classification model based on Google's ViT-base architecture, specifically designed for corn leaf detection tasks.

Model Features

High Accuracy
Achieves 91.54% classification accuracy on the evaluation set
ViT-based Architecture
Utilizes Vision Transformer architecture to effectively capture global image features
Efficient Training
Uses linear learning rate scheduling and Adam optimizer, achieving good results in just 5 training epochs

Model Capabilities

Corn Leaf Image Classification
Plant Health Detection
Agricultural Image Analysis

Use Cases

Smart Agriculture
Corn Disease Detection
Determines the presence of diseases by analyzing corn leaf images
91.54% accuracy
Crop Growth Monitoring
Regularly collects leaf images to assess crop growth conditions
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