# Agricultural image recognition

Plant seedling classification model fine-tuned based on ResNet-152, achieving 77.67% accuracy on the test set

This is an image classification model fine-tuned based on google/vit-base-patch16-224-in21k, specifically designed for plant seedling classification tasks, achieving 95.67% accuracy on the test set.

An image classification model based on Google Vision Transformer (ViT) architecture, fine-tuned on an image folder dataset with an accuracy of 88.55%

Image classification model based on Google Vision Transformer (ViT) architecture, fine-tuned on image folder dataset with 87.06% accuracy