Open-source vit-model-jmrv002 Image Classification Model - Achieve High-precision Classification Based on Google ViT Finetuning

Vit Model Jmrv002

Developed by jmrv002

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 15

Release Time : 4/11/2023

Model Overview

This model is a fine-tuned version of Google's ViT-base-patch16-224-in21k model on the beans dataset, specifically designed for image classification tasks, achieving 99.25% accuracy on the validation set.

Model Features

High Accuracy

Achieved 99.25% classification accuracy on the beans dataset validation set

Based on ViT Architecture

Utilizes the Vision Transformer architecture with powerful image feature extraction capabilities

Few-shot Fine-tuning

Requires only a small number of training samples to achieve excellent performance

Model Capabilities

Image Classification

Plant Disease Identification

Use Cases

Agriculture

Bean Disease Diagnosis

Used to identify the health status and disease types of bean plants

Validation accuracy 99.25%

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1417	3.85	500	0.0268	0.9925

Property	Details
Model Type	Generated from trainer
Training Data	beans
Metrics	accuracy
Model Name	vit - model - jmrv002
Task	Image Classification
Evaluation Dataset	beans (validation split)
Accuracy	0.9924812030075187

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Vit Model Jmrv002

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