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@@ -25,7 +25,7 @@ configs:
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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 118x118 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=118x118 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=118x118 at 0x29CEAD71780>
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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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