Vit Base Beans
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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
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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