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Vit Model

Developed by jeraldflowers
This model is an image classification model fine-tuned on the beans dataset based on Google's ViT architecture, designed to identify the health status of legume plants.
Image Classification
Transformers
Open Source License:Apache-2.0#Plant Disease Identification#High-precision Classification#Agricultural Detection
Downloads 16
Release Time : 11/27/2022

Model Overview

This is an image classification model based on the Vision Transformer (ViT) architecture, specifically designed to identify the health status and disease types of legume plants, such as bean rust.

Model Features

High Accuracy
Achieved 100% accuracy on the beans dataset.
Fine-tuned Model
Fine-tuned based on a pre-trained ViT model to adapt to specific classification tasks.
Lightweight Training
Requires only 4 training epochs to achieve excellent performance.

Model Capabilities

Plant Health Status Classification
Plant Disease Identification
Image Feature Extraction

Use Cases

Agriculture
Legume Plant Health Monitoring
Automatically identifies the health status and disease types of legume plants.
Can accurately distinguish between healthy leaves and leaves affected by rust.
Early Warning for Plant Diseases
Detects plant diseases early through image analysis.
Helps in taking timely preventive measures.
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