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README.md
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---
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license: mit
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tags:
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- image-classification
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- agricultural
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- plant-disease
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- fastai
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- resnet
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widget:
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- src: https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/plant-disease-test-image.jpg
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example_title: "Tomato Late Blight"
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---
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# 🌿 GreenLens: Plant Disease Detection Model
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This is a `fastai` image classification model trained to identify 38 different types of plant diseases from leaf images.
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## Model Description
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**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".
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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.
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## How to Use this Model
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To use this model, you need to have the `fastai` library installed. You can then load the model and make predictions on your images.
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