TrainingDataPro
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license: cc-by-nc-nd-4.0
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---
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license: cc-by-nc-nd-4.0
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task_categories:
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- image-segmentation
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- image-to-image
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language:
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- en
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tags:
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- code
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---
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# Roads Segmentation Dataset
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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.
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The dataset can be utilized for enhancing computer vision algorithms involved in road surveillance, navigation, and intelligent transportation systemsand and in autonomous driving systems.
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![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Fb0789a0ec8075d9c7abdb0aa9faced59%2FFrame%2012.png?generation=1694606364403023&alt=media)
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# Get the Dataset
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### This is just an example of the data
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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
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# Dataset structure
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- **images** - contains of original images of roads
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- **masks** - includes segmentation masks created for the original images
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- **annotations.xml** - contains coordinates of the bounding boxes and detected text, created for the original photo
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# Data Format
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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.
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### Сlasses:
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- **road_surface**: surface of the road,
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- **marking**: white and yellow marking on the road,
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- **road_sign**: road signs,
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- **car**: cars on the road,
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- **background**: side of the road and surronding objects
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# Example of XML file structure
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![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Fa74a4214f4dd89a35527ef008abfc151%2Fcarbon.png?generation=1694608637609153&alt=media)
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# Roads Segmentation might be made in accordance with your requirements.
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## **[TrainingData](https://trainingdata.pro/data-market?utm_source=huggingface)** provides high-quality data annotation tailored to your needs
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More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**
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TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**
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