# Agricultural image analysis

BioTrove-CLIP is a set of CLIP-style visual-language foundation models for biodiversity, trained on a dataset containing 40 million images and 33,000 plant and animal species.

This model is an image classification model fine-tuned on the beans dataset based on Google's ViT architecture, achieving 97.74% accuracy on the validation set.

A visual classification model fine-tuned on the bean image dataset based on Google's ViT base model, with an accuracy rate of 97.74%