Excavator detection: Datasets & Models

On active construction and infrastructure sites, teams often rely on manual walkthroughs, radio check-ins, or spreadsheets to know where excavators are and whether they're being used efficiently. That approach doesn't scale across large sites or multiple projects, and it misses the moment an excavator operates near a restricted zone or an on-foot worker. Automating excavator detection with computer vision gives you continuous, objective visibility into equipment activity without adding manual observers. It turns existing camera infrastructure into a source of utilization data and proximity-based safety signals.

You get consistent 24/7 monitoring of heavy equipment using cameras you already have on site, with detections that feed directly into utilization reports, geofence alerts, and safety workflows. The approach scales from a single job site to an entire fleet across multiple projects without proportionally adding headcount. RF-DETR provides strong accuracy on cluttered outdoor scenes where excavators are partially occluded by dirt, dust, or other machinery.

1. Upload an image: Drop any photo into the widget above to try excavator detection for free, right on this page.
2. Preview instant results: The model detects excavator, dump truck, bulldozer, worker, hard hat 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.