# Fine-tuned ViT model

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%

A vision model fine-tuned from google/vit-base-patch16-224-in21k for facial expression recognition tasks

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.

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%.

This model is a fine-tuned image classification model based on google/vit-base-patch16-224-in21k on the Human_Action_Recognition dataset, achieving an accuracy of 93.84%.

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