๐ฟ GreenLens: Plant Disease Detection Model
This is a fastai
image classification model trained to identify 38 different types of plant diseases from leaf images.
Model Description
GreenLens is a computer vision model that can classify healthy and diseased plant leaves across various species like tomato, potato, and corn. It was built by fine-tuning a ResNet34 architecture on the augmented "New Plant Diseases Dataset".
This project was developed as an end-to-end demonstration of a real-world ML workflow: from data sourcing on Kaggle, training on Google Colab, to being shared on the Hugging Face Hub.
How to Use this Model
To use this model, you need to have the fastai
library installed. You can then load the model and make predictions on your images.