Heavy equipment detection: Datasets & Models
Detects heavy construction equipment such as excavators, bulldozers, and cranes in images and video from job sites. Useful for tracking machinery presence, location, and utilization across active construction zones.
Heavy equipment detection
This detection workflow processes images and video frames from construction sites and draws bounding boxes around heavy equipment, including excavators, bulldozers, loaders, dump trucks, and cranes. Built on a heavy machinery dataset, it locates each machine across varying angles, distances, and partial occlusion so you can track equipment presence and location across active job sites.
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Why automate heavy equipment detection
Manually logging which machines are on site, where they are, and how long they sit idle is tedious, error-prone, and impossible to do continuously across large or multiple construction sites. Automating heavy equipment detection turns any existing camera feed into a continuous record of machinery activity, so teams can flag underutilized rentals, verify equipment is staged in the right zones, and enforce exclusion areas around active machines. This removes the need for someone to physically walk the site or scrub hours of footage. The result is faster, more consistent visibility into some of the most expensive assets on a construction project.
Key benefits
Detection runs on the cameras and drone footage you already deploy, so there is no new hardware requirement to get started. The workflow scales from a single site camera to fleets across multiple infrastructure projects, and results integrate with dashboards, alerting, and asset-tracking tools through the API. Accurate, automated machinery counts and locations support better rental decisions, safety compliance, and progress reporting.
How to use it
- Upload an image: Drop any photo into the widget above to try heavy equipment detection for free, right on this page.
- Preview instant results: The model detects excavator, bulldozer, crane, dump truck, wheel loader 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.
- 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.
- 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.
Recommended model for heavy equipment detection
RF-DETR is state of the art for real-time object detection, instance segmentation, and keypoint detection, with higher accuracy and lower latency than comparable models, and it's Apache 2.0 licensed. When you're ready to build a production model for heavy equipment detection, fine-tune it on your own labeled images, then deploy to a Serverless Cloud API endpoint.
Not sure where to start?
Describe your Heavy Equipment Detection project to Roboflow Agent.