README.md

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license: apache-2.0
language:
- en
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# 🚦 Traffic Object Detection Dataset 🚗💨

## 📌 Introduction
Welcome to the **Traffic Object Detection** dataset! 🛣️ This dataset is designed for training and evaluating object detection models in traffic-related scenarios. It contains annotated images of various traffic objects such as 🚗 vehicles, 🚶 pedestrians, 🚦 traffic signs, and more.

## 🎯 Purpose
The dataset is intended for use in **traffic event recognition**, helping AI models detect and analyze traffic situations. It can be useful for applications such as:
- 🚘 **Autonomous driving systems**
- 🏙 **Smart traffic management**
- ⚠️ **Road safety monitoring**
- 🚑 **Accident detection and prevention**

## 📊 Dataset Details
- **🖼 Number of Images**: [Specify the number]
- **📍 Annotations**: Bounding boxes for various traffic objects
- **🛑 Classes**: Vehicles, pedestrians, traffic signs, etc.
- **📂 Format**: YOLO, COCO, or Pascal VOC (based on the dataset format)
- **🌍 Source**: Collected from diverse urban and highway environments

## 🚀 Usage
To use this dataset in your projects, follow these steps:

1. ⬇️ Download the dataset from the link below.
2. 🛠 Load it into your preferred machine learning framework (e.g., PyTorch, TensorFlow).
3. 🏗 Train your object detection model using the provided annotations.
4. 📈 Evaluate the model performance and fine-tune accordingly.

## 🔗 Download Link
You can access the dataset at the following link:
🔗 [Traffic Object Detection Dataset](https://universe.roboflow.com/aitc2025/traffic-object-detection-qhu0u)

## 🔗 Paper Link
You can access the Paper at the following link:
🔗 [Revolutionizing Traffic Management with AI-Powered Machine Vision: A Step Toward Smart Cities](https://arxiv.org/abs/2503.02967)

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For any questions or contributions, feel free to reach out! ✨ Happy coding! 🖥️🚦