Logo and Sponsorship Detection AI
Find every logo in every frame, measure how long, how large, and how clear, and give every sponsorship number the evidence behind it.
Logo Detection AI Across Broadcast, Streaming, Social, and Venue Imagery
Deploy Anywhere, Run Everywhere
Run logo and sponsorship detection in the cloud, in your VPC, on-prem against broadcast archives and live streams, or via API, wherever your footage, social monitoring, and reporting pipelines need it.
One Platform, Full Adoption
Tools every partnerships team can adopt, from sponsorship sales and account managers to research and insights, brand marketing, and media analysts, no separate ML team required to ship and own logo models.
Secure, Compliant, and Audit-Ready
Data stays safe with SOC 2 Type II compliance, encrypted data, and an uptime SLA, with frame-level evidence behind every exposure figure that supports sponsor reporting, contract compliance, and exclusivity enforcement.
- Jersey, Board & Field Logo Recognition
- Duration, Size & Clarity Scoring
- Exposure by Asset & Placement
- Ambush & Competitor Logo Detection
- Social & Fan Content Monitoring
- Sponsorship Valuation with Frame Evidence
“Roboflow has been instrumental in accelerating our deployment of innovative AI solutions.”
Travis Turnbull
Vice President & CIO, Pella Corporation
Talk to a Vision AI engineer who's shipped logo detection on real broadcast footage.
Bring us your toughest logo and sponsorship detection problem and we'll map a working solution.
Ask us about:
- Solution architecture for leagues, teams, and venues, brands and agencies, and media companies, across broadcast, streaming, social, and venue imagery
- Live demo on your broadcast footage or social content, with the sponsor portfolio you need to measure or the mark you need to protect
- Deployment options: cloud, VPC, or on-prem for broadcast archives and live streams, with integration into sponsorship analytics, CRM, and reporting
- ROI modeling against manual coding hours, sponsorship pricing and renewal outcomes, unmeasured earned exposure, and exclusivity and brand protection
Over 16,000 organizations build with Roboflow.
- Rivian
- Pella
- Chobani
- USG Corporation
- BNSF Railway
- American Woodmark
Vision AI is transforming businesses
Customers across the board are solving complex challenges and driving meaningful impact.
- Automotive customer
$10 million
Saved by automatically detecting defects on the production line
- Logistics & freight company
90%
Less time spent manually tracking shipping inventory
- Building materials supplier
60%
Lower customer return rate with improved product quality
Find Every Logo, Measure Every Exposure, and Prove Every Sponsorship Number, with Vision AI
Add a measurement layer to every broadcast, stream, and social post with vision AI for logo and sponsorship detection. Built for the rights holders and brands where the sponsorship deck promises exposure and the post-season report is a sample of three games coded by hand, the jersey patch shows up in 40,000 fan photos nobody counted, and the competitor's logo appeared on the LED board during the highlight that went viral. Roboflow finds every logo in every frame of broadcast, streaming, and social video and imagery, measures how long, how large, how clear, and where, and turns exposure into a defensible number with the frames behind it.
Logo Detection and Recognition:
- Detect and recognize sponsor logos on jerseys, kits, and helmets, LED and static boards, field and court markings, backdrops and press walls, and vehicles and equipment across every frame of video
- Recognize logos at any size, angle, partial occlusion, motion blur, and lighting, including the half-visible patch behind a defender and the board seen from the far camera
- Detect unauthorized, competitor, and ambush logos in venues, on apparel, and in user-generated content, so a clean-venue clause or category exclusivity is enforceable
Exposure Measurement and Valuation:
- Measure duration on screen, size as a share of frame, position, clarity, and clutter for each logo appearance, so exposure is scored by quality rather than counted by occurrence
- Attribute exposure by asset, broadcast, segment, and moment, so the jersey patch, the LED board, and the interview backdrop each carry their own number
- Feed exposure scores into media-equivalent and sponsorship valuation models with the frames behind every figure, so a renewal conversation has evidence rather than a sample
Social, Streaming, and Systems Integration:
- Monitor social platforms, fan photos, and creator content for sponsor logos, so earned exposure outside the broadcast is counted and unauthorized use is found
- Process live streams and archived broadcast at scale, so every game, race, and event is measured rather than a sample of three
- Push detections, exposure metrics, and frame evidence into sponsorship analytics, CRM, and reporting tools through API integration, with a full record behind every report
Bring intelligence to every placement today.
More About Logo and Sponsorship Detection
What is logo detection with Vision AI?
Logo detection with vision AI uses deep-learning models to find and recognize brand logos in video and images, in broadcast and streaming footage, social media content, fan photos, and venue and event imagery, and to measure each appearance: duration on screen, size as a share of frame, position, clarity, occlusion, and clutter. For sponsorship measurement, those measurements are attributed to the asset that carried the logo, the jersey patch, the LED board, the field marking, the backdrop, and rolled into exposure and valuation metrics with the frames behind every number. The same models detect unauthorized and competitor logos for clean-venue enforcement, category exclusivity, and brand protection. Models are trained on the specific logos and placements in a sponsorship portfolio, so a new sponsor or a redesigned mark is a training update rather than a new system.
Can it integrate with our sponsorship analytics and reporting tools?
Yes. Roboflow Inference exposes a standard API and webhooks, so logo detections, exposure metrics, and frame evidence flow into your existing systems: sponsorship and media valuation platforms, CRM and partnership management systems like Salesforce and KORE, social listening and monitoring tools, media asset management and broadcast archives, and BI and reporting tools like Power BI, Tableau, and Looker, through REST, webhooks, and direct database writes. Each detection carries the sponsor, the asset and placement, the broadcast or platform, the segment and timestamp, the duration, size, position, and clarity scores, and the frame, so a sponsorship report, a renewal deck, or an exclusivity dispute is built from evidence rather than a sample.