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