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Vit Beans

Developed by johnnydevriese
This model is an image classification model fine-tuned on the beans dataset based on Google's ViT architecture, achieving an accuracy of 96.99%.
Downloads 14
Release Time : 4/1/2022

Model Overview

An image classification model based on the Vision Transformer (ViT) architecture, specifically designed for bean plant disease recognition, with excellent performance on the beans dataset.

Model Features

High-precision Classification
Achieves 96.99% accuracy on the beans test set.
Transfer Learning
Fine-tuned from a pre-trained ViT model, effectively leveraging large-scale pre-trained knowledge.
Lightweight Deployment
Uses the standard ViT architecture, making it easy to deploy on various platforms.

Model Capabilities

Plant Disease Recognition
Image Classification
Agricultural Image Analysis

Use Cases

Smart Agriculture
Bean Disease Diagnosis
Automatically identifies the health status and disease types of bean plants.
Test set accuracy: 96.99%
Agricultural Quality Inspection
Real-time detection of crop health status on agricultural production lines.
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