Datasetpublic

SobanHM/Road-Objects-Detection-Dataset

🚦 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… See the full description on the dataset page: https://huggingface.co/datasets/SobanHM/Road-Objects-Detection-Dataset.

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Dataset Card

🚦 Road Object Detection Dataset (YOLOv8)

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

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📌 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.

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

Happy Training!

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