README.md

---
license: cc-by-nc-nd-4.0
task_categories:
- image-segmentation
- image-to-image
language:
- en
tags:
- code
---
# Road Segmentation Dataset
This dataset comprises a collection of images captured through **DVRs** (Digital Video Recorders) showcasing roads. Each image is accompanied by segmentation masks demarcating different entities (**road surface, cars, road signs, marking and background**) within the scene. 

# 💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on **[TrainingData](https://trainingdata.pro/datasets/roads-segmentation?utm_source=huggingface&utm_medium=cpc&utm_campaign=roads-segmentation-dataset)** to buy the dataset

The dataset can be utilized for enhancing computer vision algorithms involved in road surveillance, navigation, and intelligent transportation systemsand and in autonomous driving systems.

![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Fb0789a0ec8075d9c7abdb0aa9faced59%2FFrame%2012.png?generation=1694606364403023&alt=media)

# Dataset structure
- **images** - contains of original images of roads
- **masks** - includes segmentation masks created for the original images
-  **annotations.xml** -  contains coordinates of the polygons, created for the original photo

# Data Format

Each image from `images` folder is accompanied by an XML-annotation in the `annotations.xml` file indicating the coordinates of the polygons and labels . For each point, the x and y coordinates are provided.

### Сlasses:
- **road_surface**: surface of the road,
- **marking**: white and yellow marking on the road,
- **road_sign**: road signs,
- **car**: cars on the road,
- **background**: side of the road and surronding objects

# Example of XML file structure

![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Fa74a4214f4dd89a35527ef008abfc151%2Fcarbon.png?generation=1694608637609153&alt=media)

# Roads Segmentation might be made in accordance with your requirements.

# 💴 Buy the Dataset: This is just an example of the data. Leave a request on **[https://trainingdata.pro/datasets](https://trainingdata.pro/datasets/roads-segmentation?utm_source=huggingface&utm_medium=cpc&utm_campaign=roads-segmentation-dataset)** to discuss your requirements, learn about the price and buy the dataset

## **[TrainingData](https://trainingdata.pro/datasets/roads-segmentation?utm_source=huggingface&utm_medium=cpc&utm_campaign=roads-segmentation-dataset)** provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**

TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**

*keywords: road surface, road scene, off-road, vehicle segmentation dataset, semantic segmentation for self driving cars, self driving cars dataset, semantic segmentation for autonomous driving, car segmentation dataset, car dataset, car images, car parts segmentation, self-driving cars deep learning, cctv, image dataset, image classification, semantic segmentation*