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@@ -17,19 +17,23 @@ pretty_name: MegaPlant
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  size_categories:
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  - 10K<n<100K
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  ---
 
 
 
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  [Paper](https://iragca.github.io/DS413-final-project/), [GitHub](https://github.com/iragca/DS413-final-project)
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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.
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- Datasets integrated:
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  | Dataset | Authors | Description | Retrieved from |
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  | ------------ | ------------------------------------------ | ---------------------------------------------------------- | ---------------------------------------------------------------- |
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  | PlantVillage | https://doi.org/10.48550/arXiv.1511.08060 | Laboratory conditions, small images | https://www.kaggle.com/datasets/nirmalsankalana/plantdoc-dataset |
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  | PlantDoc | https://doi.org/10.1145/3371158.3371196 | Field and laboratory conditions, stock-photos, small images | https://www.kaggle.com/datasets/nirmalsankalana/plantdoc-dataset |
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  | DiaMOS | https://doi.org/10.3390/agronomy11112107 | Field conditions, large high quality images | https://zenodo.org/records/5557313 |
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- Cite the authors
 
 
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  ```cff
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  @misc{Irag_MegaPlant_An_integrated,
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  author = {Irag, Chris Andrei and Pramio, Ashley and Mendoza, Monique Antoinette and Dela Vega, Rod Vincent},
 
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  size_categories:
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  - 10K<n<100K
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  ---
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+ # MegaPlant
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+
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+ 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.
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  [Paper](https://iragca.github.io/DS413-final-project/), [GitHub](https://github.com/iragca/DS413-final-project)
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+ ## Datasets integrated
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  | Dataset | Authors | Description | Retrieved from |
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  | ------------ | ------------------------------------------ | ---------------------------------------------------------- | ---------------------------------------------------------------- |
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  | PlantVillage | https://doi.org/10.48550/arXiv.1511.08060 | Laboratory conditions, small images | https://www.kaggle.com/datasets/nirmalsankalana/plantdoc-dataset |
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  | PlantDoc | https://doi.org/10.1145/3371158.3371196 | Field and laboratory conditions, stock-photos, small images | https://www.kaggle.com/datasets/nirmalsankalana/plantdoc-dataset |
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  | DiaMOS | https://doi.org/10.3390/agronomy11112107 | Field conditions, large high quality images | https://zenodo.org/records/5557313 |
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+
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+ ## Citation
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+
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  ```cff
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  @misc{Irag_MegaPlant_An_integrated,
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  author = {Irag, Chris Andrei and Pramio, Ashley and Mendoza, Monique Antoinette and Dela Vega, Rod Vincent},