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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
Leave a request on https://trainingdata.pro/data-market 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**
More datasets in TrainingData's Kaggle account: https://www.kaggle.com/trainingdatapro/datasets
TrainingData's GitHub: https://github.com/Trainingdata-datamarket/TrainingData_All_datasets
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