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Vit Base Beans

Developed by derhuli
A high-precision image classification model fine-tuned on bean datasets based on Google's ViT model
Image Classification
Transformers
Open Source License:Apache-2.0#Bean Classification#High-precision Image Recognition#Agricultural Detection
Downloads 33
Release Time : 12/9/2022

Model Overview

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on bean datasets, primarily used for bean image classification tasks, achieving 99.25% accuracy on the evaluation set.

Model Features

High Accuracy
Achieves 99.25% classification accuracy on bean datasets
Based on ViT Architecture
Utilizes the Vision Transformer base architecture with powerful image feature extraction capabilities
Lightweight Fine-tuning
Requires only 4 training epochs to achieve high performance

Model Capabilities

Image Classification
Plant Identification
Agricultural Product Quality Detection

Use Cases

Agriculture
Bean Variety Identification
Automatically identifies different varieties of beans
99.25% accuracy
Agricultural Product Quality Detection
Detects the quality of bean products through image analysis
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