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README.md
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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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# 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
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# Data Format
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# Roads Segmentation might be made in accordance with your requirements.
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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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tags:
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- code
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---
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# Road 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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# 💴 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
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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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## DATASETS WITH VEHICLES :
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- **[License Plates - 1 209 438 OCR Plates](https://www.kaggle.com/datasets/trainingdatapro/license-plates-1-209-438-ocr-plates)**
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- **[Car Object Detection & Tracking](https://www.kaggle.com/datasets/trainingdatapro/cars-video-object-tracking)**
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- **[Vehicle Images & Segmentation](https://www.kaggle.com/datasets/trainingdatapro/car-masks)**
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- **[Parking Space Detection & Classification Dataset](https://www.kaggle.com/datasets/trainingdatapro/parking-space-detection-dataset)**
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- **[Videos around cars](https://www.kaggle.com/datasets/tapakah68/videos-around-cars)**
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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 polygons, created for the original photo
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# Data Format
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# Roads Segmentation might be made in accordance with your requirements.
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# 💴 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
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## **[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
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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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*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*
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