Open-source ViT-base-beans image classification model, fine-tuned on the Beans dataset to achieve high-precision image classification

Vit Base Beans

Developed by sanjeev498

A high-precision image classification model fine-tuned on the beans dataset based on Google's ViT model

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

Downloads 13

Release Time : 10/13/2022

Model Overview

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

Model Features

High Accuracy

Achieved 100% classification accuracy on the beans dataset

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, requiring only 4 training epochs

Model Capabilities

Image Classification

Plant Disease Identification

Use Cases

Agriculture

Bean Disease Identification

Identify the health status and disease types of bean plants

Achieved 100% accuracy on the beans dataset

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0568	1.54	100	0.0299	1.0
0.0135	3.08	200	0.0189	1.0

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Vit Base Beans

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 vit-base-beans

🚀 Quick Start

📚 Documentation

Model description

Intended uses & limitations

Training and evaluation data

🔧 Technical Details

Training procedure

Training hyperparameters

Training results

Framework versions

📄 License