vit-base-beans Open-source Image Classification Model - Fine-tuned Based on ViT, Efficiently Classify Images with 98.5% Accuracy

Vit Base Beans

Developed by espejelomar

An image classification model fine-tuned on the beans dataset based on Google's ViT model, achieving 98.5% accuracy

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

Downloads 33

Release Time : 7/28/2022

Model Overview

This model is an image classification model fine-tuned on the beans dataset based on Google's ViT-base-patch16-224-in21k model, primarily used for classifying plant leaf diseases.

Model Features

High Accuracy

Achieves 98.5% classification accuracy on the beans dataset

Based on ViT Architecture

Uses Vision Transformer architecture, suitable for image classification tasks

Fine-tuned Model

Fine-tuned on a pre-trained model for specific tasks

Model Capabilities

Plant Leaf Disease Classification

Image Feature Extraction

High-precision Image Recognition

Use Cases

Agriculture

Plant Disease Diagnosis

Used to identify and classify types of plant leaf diseases

Accurately identifies multiple plant diseases

Research

Plant Pathology Research

Assists researchers in quickly classifying and analyzing plant diseases

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1387	3.85	500	0.0637	0.9850

Property	Details
Model Type	Fine - tuned ViT - base for image classification
Training Data	beans dataset
Metrics	accuracy

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Vit Base Beans

Model Overview

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🚀 vit-base-beans

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🔧 Technical Details

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