---
license: cc-by-4.0
pretty_name: 'Brazilian Road Signs Dataset'
language:
- pt
tags:
- brazil
- road-signs
- traffic
- transportation
- image
- computer-vision
- object-detection
- ai-research
- autonomous-driving
- safety
task_categories:
- image-classification
- object-detection
- scene-understanding
size_categories:
- 1K<n<10K
---

# Brazilian Road Signs Dataset
*This dataset contains high-quality images of Brazilian road and traffic signs collected from various urban and rural environments. It supports AI research in computer vision, object detection, and autonomous driving systems adapted to Brazil’s signage standards and language.*

## Contact
For queries or collaborations related to this dataset, contact:  
  - anoushka@kgen.io  
  - abhishek.vadapalli@kgen.io  

## Supported Tasks

- **Task Categories**:  
  - Image Classification  
  - Object Detection  
  - Scene Understanding  

- **Supported Tasks**:  
  - Recognition and classification of Brazilian traffic signs  
  - Detection of multilingual and symbolic road indicators  
  - Scene segmentation for navigation and self-driving datasets  
  - Visual understanding for smart transportation and ADAS (Advanced Driver Assistance Systems)  
  - Safety compliance and infrastructure mapping  

## Languages

- **Primary Language**: Portuguese (used in textual road signs)  
- **Secondary Presence**: Universal symbols (non-linguistic signs)  

## Dataset Creation

### Curation Rationale
This dataset was created to advance AI capabilities in road safety, automated navigation, and urban planning. It supports visual recognition of traffic elements specific to Brazil’s highway code and driving environments.

### Source Data
- **Contributors**: Field data collection and publicly available road imagery under open licenses  
- **Collection Process**: Images were captured from highways, urban streets, and rural areas across Brazil. Each sign was categorized by type (regulatory, warning, informational, or guide). Personally identifiable data (faces, license plates) was blurred or removed.  

### Other Known Limitations
- **Bias**: Overrepresentation of urban traffic signs compared to rural or regional variants  
- **Weather and Lighting Variability**: Conditions may affect clarity and detection accuracy  
- **Geographical Coverage**: Certain states or remote roads may have limited representation  

## Intended Uses

### ✅ Direct Use
- Training computer vision models for traffic sign recognition  
- Research in autonomous driving and ADAS development  
- Road infrastructure mapping and visual classification  
- Traffic monitoring and safety compliance analysis  
- Academic work on multilingual and symbolic sign understanding  

### ❌ Out-of-Scope Use
- Real-time surveillance or tracking of individuals or vehicles  
- Misuse for commercial mapping without authorization  
- Use in law enforcement decision-making without human review  

## License

CC BY 4.0