Create README.md

README.md

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----
-license: apache-2.0
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+---
+annotations_creators:
+- manual
+language:
+- en
+license: mit
+multilinguality: monolingual
+pretty_name: Car Front and Rear Damage Detection
+size_categories:
+- 1K<n<10K
+source_datasets: []
+task_categories:
+- image-classification
+task_ids:
+- multi-class-image-classification
+---
+
+# Car Front and Rear Damage Detection Dataset
+
+## Dataset Summary
+
+This dataset is designed for training and evaluating machine learning models for car damage detection, specifically focusing on front and rear vehicle damages.
+
+It includes high-quality labeled images categorized into six distinct classes:
+- **R_Normal**: Rear view of undamaged cars  
+- **R_Crushed**: Rear view of cars with crushed damage  
+- **R_Breakage**: Rear view of cars with visible breakage  
+- **F_Normal**: Front view of undamaged cars  
+- **F_Crushed**: Front view of cars with crushed damage  
+- **F_Breakage**: Front view of cars with visible breakage  
+
+## Use Cases
+
+With this dataset, researchers and developers can build AI-powered solutions for:
+- Automated vehicle inspection systems  
+- Insurance claim assessment tools  
+- Road safety and damage analytics  
+- Training vision models for automotive applications  
+
+The clear classification structure enables models to effectively distinguish between normal, crushed, and broken conditions in front and rear views.
+
+## Dataset Structure
+
+Each image is stored in a directory named after its class label. The dataset is balanced across the six categories and includes metadata for each image if needed (e.g., angle, lighting conditions).
+
+### Example Labels
+
+| Label       | Description                      |
+|-------------|----------------------------------|
+| R_Normal    | Rear view of undamaged car       |
+| R_Crushed   | Rear view, visibly crushed       |
+| R_Breakage  | Rear view, broken parts visible  |
+| F_Normal    | Front view of undamaged car      |
+| F_Crushed   | Front view, visibly crushed      |
+| F_Breakage  | Front view, broken parts visible |