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README.md

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-# MegaPlant
 
-A consolidated leaf-image dataset designed to support plant disease classification models that generalize across diverse environmental conditions, from controlled laboratory settings to highly variable in-field scenarios. MegaPlant integrates multiple publicly available datasets and standardizes them into a unified [taxonomy](https://en.wikipedia.org/wiki/Taxonomy) of healthy and diseased leaf categories, enabling robust training across modalities. 
+<p align="center">
+<img src="https://github.com/iragca/DS413-final-project/raw/refs/heads/master/docs/images/banner.avif"/>
+</p>
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+<h1 align="center">MegaPlant</h1>
+
+<p align="center">
+<a href="https://iragca.github.io/DS413-final-project/">
+<img src="https://img.shields.io/badge/Research-Paper-darkgreen?logo=paperswithcode"/>
+<a href="https://huggingface.co/datasets/chrisandrei/MegaPlant">
+<img src="https://img.shields.io/badge/HuggingFace-Dataset-blue?logo=huggingface"/>
+</p>
 
-[Paper](https://iragca.github.io/DS413-final-project/), [GitHub](https://github.com/iragca/DS413-final-project)
+
+A consolidated leaf-image dataset designed to support plant disease classification models that generalize across diverse environmental conditions, from controlled laboratory settings to highly variable in-field scenarios. MegaPlant integrates multiple publicly available datasets and standardizes them into a unified [taxonomy](https://en.wikipedia.org/wiki/Taxonomy) of healthy and diseased leaf categories, enabling robust training across modalities. 
 
 ## Datasets integrated