Solution for

AI Practitioners

Professional annotation tool for training computer vision models

Data scientists, ML engineers, and AI teams building object detection models. RoadAsset provides an efficient annotation workflow with YOLO/COCO export, making it the ideal tool for creating high-quality training datasets.

Key Benefits

Purpose-Built for Roads

Pre-configured asset categories and sign codes for road infrastructure

AI-Assisted Tagging

Auto-detection speeds up annotation with human verification

ML-Ready Exports

One-click export to YOLO, COCO, Pascal VOC formats with train/val splits

Common Challenges

Sound Familiar?

Existing annotation tools lack domain-specific features

Manual bounding box annotation is tedious and slow

Difficult to maintain consistent labeling across team members

Need GPS-tagged data for geospatial ML applications

How RoadAsset Helps

Applications for AI Practitioners

Creating labeled datasets for object detection models

Fine-tuning pre-trained models on domain-specific data

Building traffic sign recognition systems

Developing road damage detection algorithms

Geospatial ML with GPS-tagged annotations

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

Ready to Transform Your AI Practitioners Workflows?

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

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