Datasets:
metadata
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)
A multi-class road scene object detection dataset for training and benchmarking modern object detection models.
📌 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:
class x_center y_center width height
where all coordinates are normalized between 0 and 1.
Example:
2 0.523 0.418 0.247 0.182
🚀 Training Example
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.
@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.