Open-source vit-base-beans Image Classification Model - Precisely identify beans based on the ViT architecture with an accuracy of 98.5%

Vit Base Beans

Developed by liangy2

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

Open Source License:Apache-2.0 #Plant Disease Identification #High-precision Classification #Agricultural Image Analysis

Downloads 14

Release Time : 8/25/2022

Model Overview

This is an image classification model based on the Vision Transformer (ViT) architecture, specifically fine-tuned for the beans dataset to identify disease types in legume plants.

Model Features

High Accuracy

Achieves 98.5% classification accuracy on the beans test set

Based on ViT Architecture

Utilizes the Vision Transformer architecture with powerful image feature extraction capabilities

Lightweight Fine-tuning

Efficient fine-tuning on a pre-trained model with only 5 training epochs

Model Capabilities

Image Classification

Plant Disease Identification

Crop Health Detection

Use Cases

Agricultural Technology

Legume Disease Diagnosis

Automatically identifies disease types in legume plants

98.5% accuracy

Crop Health Monitoring

Used in automated farm monitoring systems to detect crop diseases promptly

Training Loss	Epoch	Step	Accuracy	Validation Loss
0.3303	1.0	130	0.9624	0.2543
0.1519	2.0	260	0.9850	0.1059
0.1879	3.0	390	0.9850	0.0908
0.1189	4.0	520	0.9850	0.0714
0.1095	5.0	650	0.9850	0.0711

Property	Details
Model Type	vit - base - beans
Training Data	beans
Metrics	accuracy

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Vit Base Beans

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🚀 vit-base-beans

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