Vit Base Beans
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Vit Base Beans
Developed by simlaharma
An image classification model fine-tuned on the beans dataset based on Google's ViT model, achieving an accuracy of 96.99%
Downloads 22
Release Time : 12/29/2022
Model Overview
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the beans dataset, primarily used for image classification tasks.
Model Features
High Accuracy
Achieves a classification accuracy of 96.99% on the beans validation set
Based on ViT Architecture
Uses Vision Transformer (ViT) as the base architecture, suitable for image processing tasks
Few-shot Fine-tuning
Requires only a small amount of training data to achieve good performance
Model Capabilities
Image Classification
Plant Disease Identification
Use Cases
Agriculture
Bean Disease Diagnosis
Identify the health status and disease types of bean plants
Validation set accuracy of 96.99%
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