|
|
--- |
|
|
license: cc-by-nc-nd-4.0 |
|
|
task_categories: |
|
|
- image-segmentation |
|
|
- image-to-image |
|
|
language: |
|
|
- en |
|
|
tags: |
|
|
- code |
|
|
--- |
|
|
|
|
|
# Roads 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. |
|
|
|
|
|
The dataset can be utilized for enhancing computer vision algorithms involved in road surveillance, navigation, and intelligent transportation systemsand and in autonomous driving systems. |
|
|
|
|
|
 |
|
|
|
|
|
# Get the Dataset |
|
|
|
|
|
### This is just an example of the data |
|
|
|
|
|
Contact us via **[[email protected]](mailto:[email protected])** or leave a request on **[https://trainingdata.pro/data-market](https://trainingdata.pro/data-market?utm_source=huggingface)** to discuss your requirements, learn about the price and buy the dataset |
|
|
|
|
|
# Dataset structure |
|
|
- **images** - contains of original images of roads |
|
|
- **masks** - includes segmentation masks created for the original images |
|
|
- **annotations.xml** - contains coordinates of the bounding boxes and detected text, 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 |
|
|
|
|
|
 |
|
|
|
|
|
# Roads Segmentation might be made in accordance with your requirements. |
|
|
|
|
|
## **[TrainingData](https://trainingdata.pro/data-market?utm_source=huggingface)** 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** |
