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README.md
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# Dataset Card for AGM_HS Dataset
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## Dataset Summary
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The AGM<sub>HS</sub> (AGricolaModerna Healthy-Stress) Dataset is an extension of the AGM Dataset, specifically curated to address the challenge of detecting and localizing plant stress in top-view images of harvested crops. This dataset comprises 6,127 high-resolution RGB images, each with a resolution of
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## Supported Tasks
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Image classification: Healthy-stressed classification
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A typical data instance from the AGM<sub>HS</sub> Dataset consists of the following:
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```
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{
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'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=
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'labels': 'stressed',
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'crop_type': 'by'
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'mask': <PIL.PngImagePlugin.PngImageFile image mode=L size=
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}
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```
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# Dataset Card for AGM_HS Dataset
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## Dataset Summary
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The AGM<sub>HS</sub> (AGricolaModerna Healthy-Stress) Dataset is an extension of the AGM Dataset, specifically curated to address the challenge of detecting and localizing plant stress in top-view images of harvested crops. This dataset comprises 6,127 high-resolution RGB images, each with a resolution of 120x120 pixels, selected from the original AGM Dataset. The images in AGM<sub>HS</sub> are divided into two categories: healthy samples (3,798 images) and stressed samples (2,329 images) representing 14 of the 18 classes present in AGM. Alongside the healthy/stressed classification labels, the dataset also provides segmentation masks for the stressed areas.
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## Supported Tasks
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Image classification: Healthy-stressed classification
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A typical data instance from the AGM<sub>HS</sub> Dataset consists of the following:
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```
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{
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'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=120x120 at 0x29CEAD71780>,
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'labels': 'stressed',
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'crop_type': 'by'
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'mask': <PIL.PngImagePlugin.PngImageFile image mode=L size=120x120 at 0x29CEAD71780>
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}
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```
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