---
license: cc-by-4.0
language:
- en

task_categories:
- object-detection

task_ids:
- object-detection

tags:
- yolo
- yolov8
- computer-vision
- object-detection
- traffic
- road
- vehicles
- intelligent-transportation
- traffic-monitoring
- autonomous-driving

pretty_name: Road Object Detection Dataset (YOLOv8)

annotations_creators:
- expert-generated

source_datasets:
- Roboflow
---

# 🚦 Road Object Detection Dataset (YOLOv8)

<div align="center">

![YOLO](https://img.shields.io/badge/Format-YOLOv8-blue)
![Classes](https://img.shields.io/badge/Classes-6-success)
![Task](https://img.shields.io/badge/Task-Object%20Detection-orange)
![License](https://img.shields.io/badge/License-CC%20BY%204.0-green)

**A multi-class road scene object detection dataset for training and benchmarking modern object detection models.**

</div>

---

## 📌 Overview

This dataset contains **annotated road scene images** in **YOLOv8 format** for multi-class object detection.

It is suitable for developing and evaluating deep learning models for:

- 🚗 Vehicle Detection
- 🚦 Traffic Monitoring
- 🏙️ Smart City Applications
- 🚘 Autonomous Driving Research
- 📹 Intelligent Transportation Systems (ITS)

---

# 📂 Dataset Structure

```
Road_Object_Detection_Dataset/
│
├── data.yaml
│
├── train/
│   ├── images/
│   └── labels/
│
├── valid/
│   ├── images/
│   └── labels/
│
└── test/
    ├── images/
    └── labels/
```

---

# 🏷️ Classes

| ID | Class |
|---:|--------|
| 0 | 🚲 Bike |
| 1 | 🚌 Bus |
| 2 | 🚗 Car |
| 3 | 🚶 Person |
| 4 | 🚦 Traffic Signal |
| 5 | 🚚 Truck |

---

# 📝 Annotation Format

The dataset follows the **YOLOv8** annotation format.

Each label file contains one object per line:

```text
class x_center y_center width height
```

where all coordinates are **normalized** between **0 and 1**.

Example:

```text
2 0.523 0.418 0.247 0.182
```

---

# 🚀 Training Example

```python
from ultralytics import YOLO

model = YOLO("yolov8n.pt")

model.train(
    data="data.yaml",
    epochs=100,
    imgsz=640
)
```

---

# 🎯 Applications

- Object Detection
- Vehicle Detection
- Traffic Analysis
- Road Scene Understanding
- Smart Transportation
- Autonomous Driving
- AI Surveillance
- Academic Research

---

# 📋 Dataset Information

| Property | Value |
|----------|--------|
| Task | Object Detection |
| Annotation Format | YOLOv8 |
| Number of Classes | 6 |
| Data Split | Train / Validation / Test |
| License | CC BY 4.0 |

---

# 📜 Citation

If you use this dataset in your research, please cite it appropriately.

```bibtex
@dataset{road_object_detection_yolov8,
  title={Road Object Detection Dataset (YOLOv8)},
  author={Soban Hussain},
  year={2026},
  publisher={Hugging Face},
}
```

---

# 📄 License

This dataset is distributed under the **CC BY 4.0** License.

---

<div align="center">

### ⭐ If you find this dataset useful, consider giving it a star on Hugging Face.

Happy Training!

</div>