Update README.md

README.md

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   - split: augmented
     path: data/augmented-*
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+
+
+## Dataset Summary
+This dataset contains **real-world photographs** labeled for the presence of tomatoes.  
+It is designed for **binary image classification** tasks, where the model predicts whether an image contains a tomato (`1`) or not (`0`).
+
+- **Original size:** 49 images  
+- **Augmented size:** 490 images  
+- **Task type:** Image Classification (binary)  
+- **Goal:** Train models to distinguish between images with and without tomatoes  
+
+
+## Data Splits
+- No predefined train/test split.  
+- Users can apply their own strategy (e.g., 80/20 split or k-fold cross-validation).
+- 
+
+## Intended Uses
+- **Binary Classification:** Distinguish between images containing tomatoes vs. not.  
+- **Computer Vision Training:** Baseline dataset for testing CNNs or transfer learning models.  
+- **Educational Use:** Demonstrates dataset augmentation in image classification (49 → 490 samples).  
+
+
+## Labels
+- `0` → Image **does not** contain tomatoes  
+- `1` → Image **contains** tomatoes