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--- |
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language: |
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- en |
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license: cc-by-4.0 |
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task_categories: |
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- object-detection |
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tags: |
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- traffic-signs |
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- autonomous-driving |
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- adas |
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- computer-vision |
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- yolo |
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- yolov12 |
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pretty_name: Street Sign Set |
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size_categories: |
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- 1K<n<10K |
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--- |
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<div align="center"> |
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# Street Sign Set |
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[]([LICENSE](https://creativecommons.org/licenses/by/4.0/)) |
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[](https://doi.org/10.34740/KAGGLE/DS/8410752) |
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[](https://www.kaggle.com/datasets/ferrantealessandro/street-sign-set) |
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[](https://huggingface.co/datasets/AlessandroFerrante/StreetSignSet) |
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[](https://universe.roboflow.com/alessandros-workspace/street-sign-set-xzdde) |
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[](https://github.com/ultralytics/ultralytics) |
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[](https://www.kaggle.com/datasets/ferrantealessandro/street-sign-set) |
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[](https://www.kaggle.com/datasets/ferrantealessandro/street-sign-set) |
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[](https://github.com/AlessandroFerrante/StreetSignSense/) |
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[](https://alessandroferrante.github.io/StreetSignSense/report/Report.pdf) |
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### High-Quality Traffic Sign Detection Dataset |
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</div> |
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## 📂 Dataset Overview |
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**Street Sign Set** is a comprehensive dataset designed for road sign detection in realistic contexts. It serves as the foundation for the StreetSignSense project, enabling robust detection in diverse environmental conditions. |
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The dataset is not perfectly balanced, reflecting the real-world frequency where some signs appear much more often than others. |
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### 📊 Dataset Statistics |
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* **Total Images:** **> 7,300** images. |
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* **Classes:** **63** distinct classes. |
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* **Macro-Categories:** 5 (Priority, Prohibition, Information, Warning, Mandatory). |
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* **Format:** Standard YOLO annotations (`.txt`). |
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## 🏷️ Class Structure and Labels |
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The 63 classes are organized into **5 macro-categories** that define the label prefix: |
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1. **prio** (Priority) - e.g., `prio_give_way`, `stop` |
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2. **forb** (Prohibition) - e.g., `forb_speed_over_50` |
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3. **info** (Information) - e.g., `info_parking` |
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4. **warn** (Warning) - e.g., `warn_right_curve` |
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5. **mand** (Mandatory) - e.g., `mand_pass_left_right` |
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### Primary Targets (23 Main Classes) |
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The dataset focuses on 23 main classes identified as primary targets, including: |
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* **Speed limits:** 14 classes (e.g., 5–130 km/h). |
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* **Prohibition signs:** 4 classes (e.g., no stopping/parking, no overtaking). |
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* **Priority signs:** 2 classes (e.g., give way, stop). |
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* **Curves and crossings:** 3 classes (e.g., dangerous curves, pedestrian crossing). |
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## 🛠️ Hybrid Origin and Construction |
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This dataset is a result of a hybrid curation process: |
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* **Base:** ~4000 images sourced from existing Kaggle datasets. |
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* **Expansion:** ~3000 images manually integrated from external sources and street mapping services to cover underrepresented classes. These were manually labeled to ensure quality. |
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## ⚙️ Technical Specifications |
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* **Filename Scheme:** Rigorous logical scheme `class_name-n.jpg` (e.g., `prio_give_way-12.jpg`). |
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* **Selective Data Augmentation:** Applied **only** to rare classes to mitigate class imbalance. Techniques include: |
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* Hue/Saturation/Brightness variations. |
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* Grayscale (23% probability). |
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* Blur and Noise simulation for adverse conditions. |
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## 📥 Download & Access |
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To keep the GitHub repository lightweight, the raw dataset is hosted on external platforms specialized for data versioning. |
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## 🖊️ Citation |
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If you use this dataset in your research, please cite it as follows: |
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``` |
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@misc{alessandro_ferrante_2025, |
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title={Street Sign Set}, |
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url={[https://www.kaggle.com/ds/8410752](https://www.kaggle.com/ds/8410752)}, |
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DOI={10.34740/KAGGLE/DS/8410752}, |
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publisher={Kaggle}, |
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author={Alessandro Ferrante}, |
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year={2025} |
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} |
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``` |
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## Dataset Structure |
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The data is organized following the standard YOLO convention, making it ready for immediate training: |
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```text |
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. |
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├── train/ |
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│ ├── images/ # Training set |
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│ └── labels/ # YOLO annotations |
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├── val/ |
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│ ├── images/ # Validation set |
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│ └── labels/ # YOLO annotations |
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├── test/ |
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│ ├── images/ # Test set for final evaluation |
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│ └── labels/ # YOLO annotations |
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├── data.yaml # Dataset configuration file (classes names) |
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└── dataset_analysis.csv # Detailed analysis of the dataset class distribution |
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``` |
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## 👨💻 Author |
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[Alessandro Ferrante](https://alessandroferrante.net) |
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Email: [streetsignsense@alessandroferrante.net](mailto:streetsignsense@alessandroferrante.net) |
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