Create README

README.md

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+---
+license: mit
+task_categories:
+- object-detection
+language:
+- en
+pretty_name: Real Time Pothole Detection System Training Dataset
+size_categories:
+- n<1K
+tags:
+- Yolo
+- AI/ML
+- Pothole
+- Ultralytics
+- Object Detection
+---
+
+# Real Time Pothole Detection System Training Dataset & Model Files
+
+## Model Files
+
+**Primary model:** `pothole-detector.pt` — this is the actual pre-trained YOLOv10b model used for this project.
+
+You can download it directly from the Hugging Face Hub:
+
+- **Direct download link:** [pothole-detector.pt](https://huggingface.co/datasets/Anshulgada/RT-PDS/resolve/main/pothole-detector.pt)
+
+- **Python snippet:**
+```python
+from huggingface_hub import hf_hub_download
+
+model_path = hf_hub_download(
+    repo_id="Anshulgada/RT-PDS",
+    filename="pothole-detector.pt"
+)
+```
+
+---
+
+## Other Available Ultralytics Variants
+
+| Model       | Description                    |
+| ----------- | ------------------------------ |
+| yolov10n.pt | Nano model, smallest & fastest |
+| yolov10s.pt | Small model                    |
+| yolov10m.pt | Medium model                   |
+| yolov10b.pt | Base model                     |
+| yolov10l.pt | Large model                    |
+| yolov10x.pt | Extra large, highest accuracy  |
+
+By default, these Ultralytics weights are available from:
+
+👉 [https://github.com/ultralytics/assets/releases/download/v8.3.0/yolov10{variant-name\[n,s,m,b,l,x\]}.pt](https://github.com/ultralytics/assets/releases/download/v8.3.0/yolov10b.pt)
+
+A backup of these models may also be hosted on Hugging Face Hub.
+
+---
+
+## Dataset Structure
+
+The dataset follows the standard **YOLO format** with separate directories for training, validation, and testing.
+Each split contains both **images/** and **labels/** subdirectories with matching filenames.
+
+```
+Yolo/
+├── Inference Images/       # Example images for quick testing
+└── Datasets/
+    ├── train/
+    │   ├── images/         # ~38k training images
+    │   └── labels/         # YOLO-format labels
+    ├── valid/
+    │   ├── images/         # 6k validation images
+    │   └── labels/         
+    └── test/
+        ├── images/         # 10k test images
+        └── labels/         
+```
+
+You can download it directly from the Hugging Face Hub:
+
+- **Direct download link:** [Yolo.zip](https://huggingface.co/datasets/Anshulgada/RT-PDS/resolve/main/Yolo.zip)
+
+- **Python snippet:**
+```python
+from huggingface_hub import hf_hub_download
+
+# Download the zipped YOLO dataset
+dataset_path = hf_hub_download(
+    repo_id="Anshulgada/RT-PDS",
+    filename="Yolo.zip",
+    repo_type="dataset"
+)
+
+print("Dataset downloaded to:", dataset_path)
+```