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--- |
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task_categories: |
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- image-classification |
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language: |
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- en |
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tags: |
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- medical |
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pretty_name: KermanyV3_resized |
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size_categories: |
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- 100K<n<1M |
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--- |
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# Dataset Structure |
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This dataset contains images categorized into different classes for medical image analysis. The dataset is organized as follows: |
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## Data Split |
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The dataset is split into two main subsets: `train` and `test`. |
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### Train Subset |
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The `train` subset contains images used for training machine learning models. It is further organized into subdirectories for each class. |
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- `CNV`: Contains 37,205 images. |
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- `DME`: Contains 11,348 images. |
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- `DRUSEN`: Contains 8,616 images. |
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- `NORMAL`: Contains 51,140 images. |
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### Test Subset |
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The `test` subset contains images reserved for testing the trained models. It is organized in a similar manner to the `train` subset, with subdirectories for each class. |
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- `CNV`: Contains 250 images. |
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- `DME`: Contains 250 images. |
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- `DRUSEN`: Contains 250 images. |
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- `NORMAL`: Contains 250 images. |
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## Usage |
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This dataset can be used for tasks such as classification, image recognition, and medical analysis. The provided class subdirectories indicate the different categories for the images. |
