My Bean VIT
M
My Bean VIT
Developed by woojinSong
This is an image classification model based on the Vision Transformer (ViT) architecture, specifically designed for legume recognition tasks.
Downloads 28
Release Time : 8/3/2022
Model Overview
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on a legume dataset, primarily used for legume image classification tasks.
Model Features
High Accuracy
Achieved a classification accuracy of 99.25% on the legume dataset
Based on ViT Architecture
Utilizes the Vision Transformer architecture, suitable for image classification tasks
Efficient with Small Samples
Requires only a few training epochs (4 epochs) to achieve high performance
Model Capabilities
Image Classification
Legume Recognition
Crop Image Analysis
Use Cases
Agriculture
Legume Variety Identification
Automatically identify different varieties of legume crops
Accuracy reached 99.25%
Crop Quality Detection
Detect the quality of legume crops through image analysis
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