# Agricultural Visual Inspection

A vision-language model fine-tuned based on the CLIP architecture, specifically designed for zero-shot classification of plant diseases

An image classification model fine-tuned on a legume dataset based on Google's ViT model, achieving 98.5% accuracy

This model is an image classification model fine-tuned on the beans dataset based on timm/resnet18.a1_in1k, achieving an accuracy of 69.17%.

An image classification model fine-tuned on the beans dataset based on the ResNet-50 architecture, achieving an accuracy of 90.23%