vit-base-beans Open-source Image Classification Model - Accurately Identify Bean Images, Free to Use

Vit Base Beans

Developed by HieuVo

An image classification model based on Google Vision Transformer (ViT) architecture, specifically fine-tuned for the beans dataset

Image Classification

Transformers

Open Source License:Apache-2.0 #High-precision image classification #ViT fine-tuned model #Agricultural disease recognition

Downloads 49

Release Time : 1/30/2025

Model Overview

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the beans dataset for image classification tasks, achieving 100% accuracy on the evaluation set

Model Features

High accuracy

After fine-tuning on the beans dataset, the evaluation accuracy reached 100%

Based on ViT architecture

Utilizes the Vision Transformer architecture with powerful image feature extraction capabilities

Efficient training

Achieves excellent performance with just 4 training epochs

Model Capabilities

Image classification

Plant disease recognition

Agricultural image analysis

Use Cases

Agriculture

Bean disease recognition

Identifies the health status and disease types of bean plants

Achieved 100% accuracy on the test set

Botanical research

Plant phenotype analysis

Automatically classifies different varieties or growth states of bean plants

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1884	1.5385	100	0.1875	0.9323
0.0213	3.0769	200	0.0153	1.0

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Vit Base Beans

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 vit-beans-classification

🚀 Quick Start

📚 Documentation

Model description

Intended uses & limitations

Training and evaluation data

🔧 Technical Details

Training procedure

Training hyperparameters

Training results

Framework versions

📄 License