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Parking Lot Static Obstacle Image Dataset
Synthetic Images & Vision Datasets
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£8,000
About
Description:
This dataset provides a comprehensive collection of static obstacle images within parking lot environments, generated using high-fidelity synthetic simulation environments. It includes water barriers, traffic cones, no-parking signs, ground locks, toll gates, and floor signage, covering a wide range of typical parking lot structures and visual characteristics. Each object type is modeled with realistic size, placement, and texture to accurately reflect real-world parking facility conditions.
The dataset is designed for static obstacle recognition in parking lots, supporting applications such as parking lot HD map construction, parking space recognition assistance, and obstacle avoidance systems for autonomous or assisted parking solutions. It enables reliable detection of fixed infrastructure and objects that may affect vehicle navigation in structured parking environments.
All samples are annotated with object detection bounding boxes in JSON or COCO-compatible formats. Label categories include barriers, cones, no-parking signs, ground locks, toll gates, and floor number or direction signage. Class distribution ensures balanced representation for robust model training and testing across varied parking lot layouts.
The synthetic generation process covers a variety of environmental conditions within parking lots, including multiple floors, entrance/exit zones, payment areas, and drive aisles. Lighting variations include daytime, nighttime, and underground parking illumination types, ensuring models can generalize to different real-world deployment scenarios.
By combining photorealistic rendering, human annotation, and diverse parking lot configurations, this dataset supports the development of accurate static obstacle detection models, enhances parking map alignment, and improves autonomous parking decision-making capabilities.
Keywords: parking lot obstacle recognition traffic facility perception barrier cone signage groundlock tollgate
Sector: Intelligent Transportation / Autonomous Driving / Parking Assistance Systems / HD Map Construction
Metrics: Object detection accuracy, category-specific recall rate
Entities: Barriers, traffic cones, no-parking signs, ground locks, toll gates, floor signage
Geographies: China (multi-floor indoor and outdoor parking lots)
Price Range (USD): 4000–20000
Source type: Synthetic data generation from simulation environment, human annotation
Resolution: 1920×1080
Total Images: Over 20,000 images covering diverse parking lot structures and conditions
Unique Scenes: Multipleparking facilities with different layouts, floors, and lighting conditions
Annotation Format: JSON / COCO-compatible
Annotation Type: Object detection bounding boxes
Sample Images:
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