Brand Logo Detection in Video
Detect brand logos and trademarks in video using SigLIP 768d embeddings and YOLOv8x detection. Style-invariant matching across 3,000+ brands. Logo detection API for pre-publication brand safety.
Brand safety teams, ad agencies, and content distributors managing video libraries with potential trademark exposure
Unauthorized brand logos in published content trigger trademark claims and platform demonetization. Logos appear rotated, scaled, and stylized — rule-based matching fails. With 3,000+ brands to track, manual frame-by-frame review is impossible.
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Try the IP safety scanner — upload an image to detect brand logos
Why Mixpeek
SigLIP 768d embeddings provide style-invariant matching — logos detected regardless of rotation, scale, color, or artistic modification. YOLOv8x handles detection at sub-500ms per frame. Combined pipeline tracks 3,000+ brands simultaneously.
Overview
Brand logo detection catches unauthorized trademark appearances in video content before publication. The pipeline uses SigLIP 768d embeddings and YOLOv8x detection to scan every frame for brand marks — including logos on clothing, product placements, background signage, and digitally altered marks.
Challenges This Solves
Logos appear rotated, scaled, and stylized
Logos appear rotated, partially hidden behind objects, in different colors, or artistically modified. Rule-based matching and perceptual hashing fail on these variations.
Impact: Standard detection misses 20-30% of modified or obscured logos
Background logos missed
Street scenes, sports venues, and retail environments contain brand logos in backgrounds that human reviewers overlook. Product placements and incidental brand appearances carry the same legal risk.
Impact: Background logos account for 25%+ of trademark violations
3,000+ brands to track
Content teams must check against thousands of protected brands simultaneously. Each brand may have multiple logo variants, sub-brands, and historical marks.
Impact: Manual tracking of brand databases becomes stale within days
Recipe Composition
This use case is composed of the following recipes, connected as a pipeline.
Feature Extractors Used
Retriever Stages Used
Expected Outcomes
Detect logos across 3K+ brands
Brand coverage
Style-invariant matching via SigLIP 768d embeddings
Style invariance
Sub-500ms per frame
Processing speed
Start scanning for brand logos
Upload your trademark corpus with SigLIP embeddings, deploy YOLOv8x detection, and scan video libraries at scale.
Frequently Asked Questions
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