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star092304/Traffic-sign-detection-VietNam

Vietnam Traffic Sign Detection Dataset This repository contains the dataset for detecting road traffic signs in Vietnam using the state-of-the-art YOLO object detection model. ๐Ÿ“‚ Repository Structure The dataset is structured in the standard YOLO format, containing images and corresponding annotations divided into training, validation, and testing sets. โ”œโ”€โ”€ classid.xlsx # Excel file mapping class IDs to names โ”œโ”€โ”€ dataset/ โ”‚ โ”œโ”€โ”€ train/ #โ€ฆ See the full description on the dataset page: https://huggingface.co/datasets/star092304/Traffic-sign-detection-VietNam.

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Dataset Card

Vietnam Traffic Sign Detection Dataset

![YOLO](https://github.com/ultralytics/ultralytics) ![License](https://creativecommons.org/licenses/by-nc/4.0/deed.en)

This repository contains the dataset for detecting road traffic signs in Vietnam using the state-of-the-art YOLO object detection model.

<p align="center"> <img src="illustration.webp" alt="Viet Nam Traffic Sign" width="600"> </p>


๐Ÿ“‚ Repository Structure

The dataset is structured in the standard YOLO format, containing images and corresponding annotations divided into training, validation, and testing sets.

text
โ”œโ”€โ”€ classid.xlsx        # Excel file mapping class IDs to names
โ”œโ”€โ”€ dataset/
โ”‚   โ”œโ”€โ”€ train/          # Training split
โ”‚   โ”‚   โ”œโ”€โ”€ images/     # Raw images (.jpg)
โ”‚   โ”‚   โ””โ”€โ”€ labels/     # Normalized bounding box coordinates (.txt)
โ”‚   โ”œโ”€โ”€ val/            # Validation split
โ”‚   โ”‚   โ”œโ”€โ”€ images/
โ”‚   โ”‚   โ””โ”€โ”€ labels/
โ”‚   โ””โ”€โ”€ test/           # Testing split
โ”‚       โ”œโ”€โ”€ images/
โ”‚       โ””โ”€โ”€ labels/
โ””โ”€โ”€ README.md

๐Ÿ“Š Dataset Distribution

The dataset statistics below show the division of images and labels across the different splits:

SplitImagesDetails
Train8,1258,124 labeled images + 36 background (negative) images
Validation1,0161,014 labeled images + 2 background (negative) images
Test1,0161,014 labeled images + 2 background (negative) images
Total10,157

๐Ÿท๏ธ Annotation Format

Annotations follow the standard YOLO format. For every image (e.g., 0002.jpg), there is a corresponding label file (e.g., 0002.txt) in the labels/ directory.

Each row in the text file represents a single bounding box formatted as:

text
<class_id> <x_center> <y_center> <width> <height>
  • โ€”`class_id`: Integer representing the target class index (ranging from 0 to 81).
  • โ€”`x_center`, `y_center`: Center coordinates of the bounding box, normalized to [0.0, 1.0] by dividing by the image's width and height.
  • โ€”`width`, `height`: The width and height of the bounding box, normalized to [0.0, 1.0].

๐Ÿšฆ Supported Traffic Sign Classes (82 Classes)

The dataset contains 82 categories of road signs commonly found on Vietnamese streets:

[image]