Open-source vit-base-beans Image Classification Model - Accurately Identify Beans with an Accuracy of Up to 98.5%

Vit Base Beans

Developed by yaxue

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

Downloads 33

Release Time : 12/19/2022

Model Overview

This model is a fine-tuned version of Google's ViT-base-patch16-224-in21k model on a bean dataset, primarily used for image classification tasks.

High Accuracy

Achieves 98.5% classification accuracy on the bean dataset validation set

Based on ViT Architecture

Uses Vision Transformer architecture, suitable for processing image data

Fine-tuned Model

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

Image Classification

Plant Disease Identification

Agriculture

Bean Disease Identification

Identify different types of bean plants and their health conditions

Validation set accuracy 98.5%

Property	Details
Model Type	Fine - tuned version of [google/vit - base - patch16 - 224 - in21k](https://huggingface.co/google/vit - base - patch16 - 224 - in21k) for image classification
Training Data	beans dataset
Metrics	Accuracy: 0.9849624060150376 on validation split of beans dataset

Training Loss	Epoch	Step	Accuracy	Validation Loss
0.2538	1.0	130	0.9624	0.2253
0.2861	2.0	260	0.9925	0.1086
0.1625	3.0	390	0.0990	0.9925
0.0932	4.0	520	0.0840	0.9850
0.1535	5.0	650	0.0848	0.9850

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