Rebar counting: Datasets & Models

Counting rebar by hand is slow, error-prone, and painful at scale: a worker manually tallies dozens or hundreds of bar ends per bundle, often across many deliveries per day, and miscounts translate directly into billing disputes, material shortfalls, and schedule delays. Automating rebar counting with a detection model turns a multi-minute manual task into a near-instant photo capture, creates a timestamped visual record for every count, and removes the fatigue-driven variance between different inspectors. For construction and infrastructure teams reconciling supplier deliveries against purchase orders, this means faster receiving and defensible documentation.

You get consistent, repeatable counts that eliminate manual tally errors and speed up material receiving and inventory audits. The workflow runs on images from cameras and phones you already use on site, and RF-DETR delivers strong accuracy on dense, overlapping bar cross-sections. It scales from a single yard to multiple sites and integrates into inventory or ERP systems through a simple image-in, count-out pipeline.

1. Upload an image: Drop any photo into the widget above to try rebar counting for free, right on this page.
2. Preview instant results: The model detects rebar end, rebar bundle, steel bar cross-section, rebar stack 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.