Logo detection in video: Datasets & Models

For media and content moderation teams, manually scrubbing through hours of footage to log every brand appearance is slow, inconsistent, and impossible to scale across a large content library. Automating logo detection in video lets you measure sponsorship exposure, verify advertising placements, and flag unauthorized brand usage without paying analysts to watch every clip. It turns a subjective, labor-intensive task into structured data you can query and audit. Builders can also use it to enforce content policies and catch logos that appear in user-generated uploads before they go live.

You get consistent, timestamped logo detections that plug into existing video pipelines and content review dashboards. Because it runs on standard video inputs, it works with the footage and camera feeds you already have, and it scales from a single clip to an entire media archive. The RF-DETR architecture provides strong detection accuracy on small and partially occluded logos, which is common in real-world broadcast and social video.

1. Upload an image: Drop any photo into the widget above to try logo detection in video for free, right on this page.
2. Preview instant results: The model detects brand logo, wordmark, emblem, sponsor banner, product label 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.