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Vit Base Beans

Developed by yuchengt
This model is a fine-tuned image classification model based on Google's ViT-base architecture on the beans dataset, achieving an accuracy of 97.74%
Image Classification
Transformers
Open Source License:Apache-2.0#High-precision image classification#Plant disease identification#Fine-tuned ViT model
Downloads 38
Release Time : 2/21/2023

Model Overview

A Vision Transformer model for classifying diseases in legume plants, capable of identifying healthy leaves and various disease types

Model Features

High-precision classification
Achieves 97.74% classification accuracy on the beans test set
Transfer learning
Fine-tuned based on the pre-trained ViT-base model
Lightweight deployment
Uses 16x16 patch size and 224x224 input resolution

Model Capabilities

Image classification
Plant disease identification
Transfer learning applications

Use Cases

Agricultural technology
Legume disease diagnosis
Automatically identifies the health status and disease types of legume plants
97.74% accuracy
Education research
Computer vision teaching case
Demonstrates the application effects of transfer learning in specific domains
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