AIbase
EN
Home
Vit Base Beans
V

Vit Base Beans

Developed by naveensb8182
This model is an image classification model fine-tuned on the beans dataset based on Google's ViT architecture, achieving an accuracy of 97.74%.
Image Classification
Transformers
Open Source License:Apache-2.0#Plant Disease Identification#High-precision Classification#Agricultural Image Analysis
Downloads 22
Release Time : 1/14/2023

Model Overview

This is an image classification model based on the Vision Transformer (ViT) architecture, specifically designed for bean plant disease identification. The model performs excellently after fine-tuning on the beans dataset.

Model Features

High Accuracy
Achieves 97.74% classification accuracy on the beans test set.
Based on ViT Architecture
Uses the Vision Transformer architecture, suitable for processing image data.
Efficient Few-shot Learning
Requires only 5 training epochs to achieve high performance.

Model Capabilities

Image Classification
Plant Disease Identification
Agricultural Image Analysis

Use Cases

Agricultural Technology
Bean Disease Diagnosis
Automatically identifies the health status and disease types of bean plants.
97.74% accuracy
Agricultural Monitoring System
Integrated into agricultural monitoring systems for automated plant health checks.
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