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Clasificacion Vit Model Manuel Chaves

Developed by machves
An image classification model fine-tuned from google/vit-base-patch16-224-in21k, achieving 97.74% accuracy on the bean dataset
Downloads 15
Release Time : 4/12/2023

Model Overview

This model is an image classification model based on the Vision Transformer architecture, specifically designed for bean image classification tasks.

Model Features

High accuracy
Achieves 97.74% classification accuracy on the bean dataset
Based on ViT architecture
Utilizes Vision Transformer architecture, suitable for image classification tasks
Fine-tuned optimization
Fine-tuned from google/vit-base-patch16-224-in21k

Model Capabilities

Image classification
Bean recognition

Use Cases

Agriculture
Bean variety identification
Used to identify different varieties of bean crops
97.74% recognition accuracy
Food processing
Food ingredient classification
Classifying bean ingredients on food processing lines
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