Solution for

Researchers

Real-world labeled datasets for road infrastructure research

Researchers, AI labs, and smart city programs. RoadAsset provides scalable data collection and YOLO/COCO-format exports for training and benchmarking models.

Researcher analyzing urban infrastructure maps and datasets on multiple monitors

Researcher analyzing urban infrastructure maps and datasets on multiple monitors

Key Benefits

Ready-to-Use Datasets

Export annotations in YOLO, COCO, or Pascal VOC format instantly

Scalable Collection

Collect and annotate road data from any region systematically

Academic Pricing

Special rates for research institutions and student projects

Common Challenges

Sound Familiar?

Difficult to collect real-world labeled road data

Manual annotation is time-consuming and expensive

Need standardized datasets for reproducible research

Limited access to diverse road infrastructure imagery

How RoadAsset Helps

Applications for Researchers

Dataset generation (YOLO / COCO / GeoJSON)

Model training and benchmarking

Urban analytics experiments

Smart mobility and safety studies

Comparative infrastructure research

How It Works

Get started in minutes with our simple four-step workflow

01

Drive & Record

Mount a GoPro MAX on any vehicle and drive your target roads

02

Upload Video

Upload 360° footage to RoadAsset for processing

03

AI Detection

Our AI automatically detects and classifies road assets

04

Export & Deliver

Download reports in your preferred format

Explore More

Related Use Cases

Discover specific applications for Researchers

Ready to Transform Your Researchers Workflows?

Start with a free project or talk to our team about enterprise solutions.

enmsid