35K+ Parking Lots Images | AI Training Data | Machine Learning (ML) data | Object & Scene Detection | Global Coverage

This dataset features over 35,000 high-quality images of parking lots sourced from photographers worldwide. Designed to support AI and machine learning applications, it offers a richly annotated and visually diverse collection of parking environments across urban, suburban, and rural contexts. Key Features: 1. Comprehensive Metadata: the dataset includes full EXIF data, detailing camera settings such as aperture, ISO, shutter speed, and focal length. Each image is pre-annotated with object and scene detection metadata, including vehicle types, parking lines, signage, and occupancy status—ideal for tasks such as object detection, segmentation, and spatial analysis. Popularity metrics, derived from engagement on our proprietary platform, are also included. 2. Unique Sourcing Capabilities: the images are collected through a proprietary gamified platform for photographers. Competitions centered on parking infrastructure ensure timely, relevant, and high-quality submissions. Custom datasets can be sourced on-demand within 72 hours, enabling precise targeting of environments (e.g., mall parking, street parking, multilevel garages) or conditions (e.g., day/night, weather variations). 3. Global Diversity: photographs have been contributed by users in over 100 countries, offering diverse perspectives on parking lot design, traffic flow, vehicle density, and usage patterns. Images include aerial, street-level, and oblique angles, capturing environments from densely populated cities to rural outposts. 4. High-Quality Imagery: the dataset features a mix of high-resolution drone shots, street-level captures, and surveillance-style imagery. Both professional and real-world operational conditions are represented, offering a practical and robust dataset for training models in realistic scenarios. 5. Popularity Scores: each image is assigned a popularity score based on its performance in GuruShots competitions. This provides additional context for models focusing on visual appeal, human-centric design, or public interaction trends. 6. AI-Ready Design: this dataset is engineered for seamless use in AI applications such as vehicle detection, parking space identification, occupancy prediction, and smart city infrastructure modeling. It is compatible with major machine learning frameworks and urban analytics platforms. 7. Licensing & Compliance: the dataset complies with global privacy regulations and includes clear, transparent licensing for commercial and research use. Use Cases: 1. Training AI for smart parking systems and vehicle detection. 2. Enhancing urban planning tools for traffic and infrastructure analysis. 3. Supporting real-time parking availability monitoring and guidance apps. 4. Enabling simulations and computer vision models for autonomous vehicles. This dataset offers a comprehensive, high-quality foundation for AI development in transportation, urban planning, and smart infrastructure. Custom datasets can be curated on request. Contact us to learn more!