vit-base-beans Open-Source Image Classification Model - Free to Use, Achieves 98.5% Accuracy in Bean Image Classification

Vit Base Beans

Developed by leejw51

This model is a fine-tuned image classification model based on Google's ViT-base model on the beans dataset, achieving an accuracy of 98.5%.

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Release Time : 3/17/2023

Model Overview

A Vision Transformer model for classifying images of bean plants, capable of accurately identifying various types of bean plant diseases.

High Accuracy

Achieves a classification accuracy of 98.5% on the beans validation set.

Based on ViT Architecture

Utilizes the Vision Transformer base architecture, which has strong image feature extraction capabilities.

Lightweight Fine-tuning

Achieves excellent performance with only 5 rounds of fine-tuning on the pre-trained model.

Plant Disease Identification

Image Classification

Agricultural Image Analysis

Agriculture

Bean Plant Disease Diagnosis

Automatically identifies the health status and disease types of bean plants.

Validation set accuracy of 98.5%

Agricultural Quality Inspection

Used for grading agricultural products and screening for diseases.

Training Loss	Epoch	Step	Accuracy	Validation Loss
0.2574	1.0	130	0.9624	0.2307
0.2785	2.0	260	0.9925	0.1109
0.1496	3.0	390	0.9699	0.1109
0.0916	4.0	520	0.9850	0.0875
0.1489	5.0	650	0.9774	0.0886

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