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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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