Corrosion detection: Datasets & Models

Manual corrosion inspection is slow, subjective, and hard to reproduce: two inspectors often disagree on severity, and coverage estimates come down to eyeballing a surface. In manufacturing and quality control environments, that inconsistency leads to missed defects, over-conservative rejections, and audit trails that are tough to defend. Automating with segmentation gives you consistent, quantified measurements of affected surface area and a visual record of every flagged region. It also lets you inspect more parts, more often, without adding headcount to the line.

Pixel-level masks let you measure the actual extent of corrosion rather than just detecting its presence, so severity thresholds and QC criteria become objective and repeatable. The workflow runs on images from cameras you likely already have on the factory floor or in the field, and scales from spot checks to continuous inline inspection. Because results are logged with visual overlays, you get traceable documentation for compliance and trend analysis over time.

1. Upload an image: Drop any photo into the widget above to try corrosion detection for free, right on this page.
2. Preview instant results: The model detects rust, corrosion, pitting, metal surface, weld seam 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 (instance segmentation) 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.