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Vit Base Beans

Developed by christyli
A visual classification model fine-tuned on the bean image dataset based on Google's ViT base model, with an accuracy rate of 97.74%
Image Classification
Transformers
Open Source License:Apache-2.0#High-precision image classification#Plant disease identification#Transfer learning fine-tuning
Downloads 31
Release Time : 10/28/2022

Model Overview

This model is an image classifier based on the ViT architecture, specifically fine-tuned for the bean plant image recognition task, suitable for plant health monitoring and variety identification in the agricultural field

Model Features

High-precision classification
Achieved an accuracy rate of 97.74% on the evaluation set, showing excellent performance
Based on the ViT architecture
Adopts the Vision Transformer architecture, with powerful image feature extraction capabilities
Few-shot fine-tuning
High performance can be achieved with only a small number of training samples (only 5 training epochs)

Model Capabilities

Plant image classification
Agricultural image recognition
Bean variety identification

Use Cases

Agricultural technology
Automatic identification of bean varieties
Used for the automatic classification of different bean varieties in farms or laboratories
Classification accuracy of 97.74%
Plant health monitoring
Judge the plant health status through leaf image recognition
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