# ViT Fine-Tuning

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on a blurry image dataset, designed to distinguish between blurry and clear images.

An image classification model fine-tuned on chest image datasets based on Google's ViT model, achieving 99% accuracy

An image classification model fine-tuned on the beans dataset based on Google's ViT model, achieving an accuracy of 97.74%

A vision Transformer model fine-tuned from google/vit-base-patch16-224-in21k, specialized in fire detection tasks, demonstrating high precision and recall rates on the evaluation dataset.

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

A binary classification model based on ViT architecture for identifying whether an image is a receipt/invoice

A violation image classification model fine-tuned based on Google's ViT model, achieving 95.92% accuracy on the evaluation set