AIbase
EN
Home
Vit Base Beans Demo V5
V

Vit Base Beans Demo V5

Developed by amy-why
An image classification model fine-tuned on the beans dataset based on Google's ViT base model, achieving 98.5% accuracy
Image Classification
Transformers
Open Source License:Apache-2.0#Plant Disease Identification#High-precision Image Classification#Agricultural AI Applications
Downloads 13
Release Time : 12/6/2022

Model Overview

This model is an image classification model fine-tuned on the beans plant disease dataset based on Google's ViT base architecture, primarily used for plant leaf disease identification.

Model Features

High Accuracy
Achieves 98.5% classification accuracy on the beans test set
Efficient Fine-tuning
Excellent performance achieved with few fine-tuning epochs based on the pre-trained ViT model
Lightweight
Uses the base ViT architecture, suitable for deployment in resource-limited scenarios

Model Capabilities

Plant disease image classification
Leaf health status identification
Agricultural image analysis

Use Cases

Smart Agriculture
Legume Plant Disease Diagnosis
Automatically identifies common disease types in legume plants
98.5% accuracy
Crop Health Monitoring
Analyzes crop health status through leaf images
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
EnglishįŽ€äŊ“中文įšéĢ”中文ãĢãģんご
Š 2025AIbase