# Fine-tuned ViT Model

A high-precision image classification model fine-tuned on the beans dataset based on Google's ViT model

This model is a fine-tuned vision Transformer based on Google's ViT-base-patch16-224, optimized for flower image classification tasks.

A fine-tuned bean leaf disease classification model based on Google Vision Transformer (ViT) architecture

A pneumonia detection model based on the ViT architecture, fine-tuned on a chest X-ray classification dataset with an accuracy rate of 97.68%

A fine-tuned eye tracking image classification model based on Google Vision Transformer (ViT) architecture

This model is a fine-tuned version of Google's ViT base model on a brain tumor image dataset, designed for brain tumor image classification tasks, achieving a test set accuracy of 93.16%.

High-precision image classification model fine-tuned on the beans dataset based on Google's ViT model

A corn leaf detection model based on ViT architecture, achieving 91.54% accuracy on the evaluation set

A Vision Transformer (ViT)-based model for classifying brain tumor MRI images, used to determine whether a brain tumor is detected in an MRI image.

An image classification model fine-tuned on the beans dataset based on Google's ViT base model, achieving 98.5% accuracy

An image classification model fine-tuned on the Human Action Recognition dataset based on Google Vision Transformer (ViT)

An image orientation detection model fine-tuned from ViT-base-patch16-224-in21k, used to identify whether an image is upside down