Model Selection

Plant disease identification

# Plant disease identification

Vit Model Julio Test

This model is an image classification model fine-tuned on the beans dataset based on Google's ViT architecture, achieving 97.74% accuracy on the validation set.

Image Classification

This model is a fine-tuned image classification model based on Google's ViT-base architecture on the beans dataset, achieving an accuracy of 97.74%

Image Classification

Platzi Vit Model Cristian Rubio

This model is a fine-tuned image classification model based on Google's ViT-base-patch16-224-in21k on the beans dataset, achieving 98.5% accuracy on the validation set.

Image Classification

Platzi Vit Model Elyager

This model is a fine-tuned image classification model based on Google's ViT architecture on the beans dataset, achieving an accuracy of 97.74%.

Image Classification

Platzi Vit Model Omar Espejel

This is an image classification model fine-tuned on the beans dataset based on Google's ViT model, achieving an accuracy of 98.5%.

Image Classification

A visual classification model fine-tuned on the bean image dataset based on Google's ViT base model, with an accuracy rate of 97.74%

Image Classification

Platzi Vit Base Beans Omar Espejel

An image classification model fine-tuned on the beans dataset based on Google's ViT model, used to identify the health status of bean leaves

Image Classification

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