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Vehicle Semantic Segmentation Dataset
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About
Focused on advancing autonomous driving technology, this dataset features a collection of car photos captured on city streets under clear weather conditions with natural shooting angles. The imagery includes both passenger cars and commercial vehicles, manually annotated with high-precision masks for semantic segmentation. These masks utilise specific colours to clearly distinguish the boundaries of various vehicle components, such as bumpers, fog lights, radiators, and license plates, facilitating the training of robust deep learning models.
Columns
- element: Identifies the specific part of the car highlighted in the mask (e.g., bumper, fog lights, radiator, license plate, door handle).
- color: Specifies the unique colour code assigned to the corresponding element in the segmentation mask.
Distribution
The dataset is structured as a collection of images and corresponding segmentation masks. It includes a
masks_info.csv file (357 B) which details the class definitions. The data consists of 16 unique values for vehicle elements and their associated colours, ensuring consistent labelling across the set.Usage
- Training semantic segmentation models for self-driving cars.
- Developing algorithms for autonomous vehicle object detection and tracking.
- Researching deep learning techniques for automotive computer vision.
- Validating car part segmentation systems (e.g., parking space detection).
Coverage
- Geographic: Captured on city streets.
- Environmental: Clear weather conditions with natural shooting angles.
- Subject Matter: Covers both passenger cars and commercial vehicles.
- Scope: Includes 16 distinct vehicle elements for segmentation.
License
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Who Can Use It
- Autonomous Driving Engineers
- Computer Vision Researchers
- AI Developers specialising in transportation
- Data Scientists working on object recognition
Dataset Name Suggestions
- Vehicle Semantic Segmentation Dataset
- Car Parts Segmentation Masks
- Autonomous Driving Car Images
- City Street Vehicle Annotations
Attributes
Original Data Source: Vehicle Semantic Segmentation Dataset
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