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Vit Beans

Developed by SangjeHwang
A Vision Transformer model fine-tuned on the beans dataset based on google/vit-base-patch16-224-in21k for image classification tasks
Image Classification
Transformers
Open Source License:Apache-2.0#Plant Disease Identification#ViT Fine-tuning#Three-class Model
Downloads 17
Release Time : 4/10/2025

Model Overview

This model is an image classification model based on the Vision Transformer (ViT) architecture, specifically fine-tuned for the beans dataset, suitable for three-class classification tasks

Model Features

Based on ViT Architecture
Adopts the Vision Transformer architecture, utilizing self-attention mechanisms to process image data
Three-class Classification Capability
Optimized specifically for the beans dataset, capable of recognizing three different categories
Transfer Learning
Fine-tuned based on the pre-trained google/vit-base-patch16-224-in21k model, with strong feature extraction capabilities

Model Capabilities

Image Classification
Feature Extraction
Transfer Learning

Use Cases

Agriculture
Legume Crop Disease Identification
Identify different disease types in legume crops
Loss value of 0.7702 on the evaluation set
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