Open Source of ViT-Model1 Image Classification Model - Fine-tuned Based on Google ViT, Classifies Bean Images with 97.74% Accuracy

Vit Model1

Developed by fernando232s

An image classification model fine-tuned on the beans dataset based on Google's ViT model, achieving an accuracy of 97.74%

Downloads 19

Release Time : 1/20/2023

Model Overview

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the beans dataset, primarily used for image classification tasks.

High Accuracy

Achieves a classification accuracy of 97.74% on the beans dataset

Based on ViT Architecture

Uses the 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 Plant Disease Identification

Identifies the health status and disease types of bean plants

Accuracy of 97.74%

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1296	3.85	500	0.0584	0.9774

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