Haul truck detection: Datasets & Models

Manually monitoring haul truck movement across an open-pit mine or processing facility is tedious and error-prone, and human spotters cannot watch every camera feed around the clock. Automating haul truck detection lets you continuously count trucks, measure cycle times, and flag congestion or unexpected equipment in restricted zones without adding headcount. In a mining and metals operation where truck utilization directly drives throughput, reliable automated detection turns raw camera footage into actionable data. It also creates a consistent audit trail for safety and productivity analysis.

You get consistent, round-the-clock detection that works with the cameras and video infrastructure you already have on site, from pit-edge poles to drone surveys. The workflow scales across multiple feeds and locations, and the recommended RF-DETR model offers strong accuracy on heavy equipment in cluttered outdoor scenes. Because it builds on standard detection outputs, it integrates cleanly with fleet management, counting, and alerting systems.

1. Upload an image: Drop any photo into the widget above to try haul truck detection for free, right on this page.
2. Preview instant results: The model detects haul truck, excavator, wheel loader, dump bed, pickup truck within seconds and returns an annotated image with structured predictions, so you can immediately see how well it works. Adjust the detection classes and re-run until the results fit your scenario.
3. Like what you see?: With a free Roboflow account, you can deploy this workflow with the Serverless Cloud API, customize it in your workspace, or train RF-DETR on your own images for production accuracy.
4. Get started for free: No code or training data required to begin: upload, review the results, and make it part of your stack in a single click.