Logo Detection — often referred to as logo recognition — engines in the Veritone cognitive engine ecosystem detect and identify images that represent specific retailers, sports teams, media networks, products, companies, and more in images and video. Logo detection finds use in gauging brand mentions across social media, or locating occurrences of copyright infringement.
Logo Detection Features:
- Trainable with Custom Libraries
Create custom models using logos in images or video specific to your use case with the Veritone Library application or annotation tool as well as API.
- Broad Pre-Trained Logo Library
Identify hundreds of logos including sports teams, broadcasters, brands, and more in video and images with Veritone’s pre-trained library.
- Searchable Results
Identify the logos and brands you are looking for quickly within images and video with searchable logo detection engine output via API and Veritone applications.
- Near Real-Time Processing
Process pictures and video files in near real-time for use cases requiring fast turnaround of logos recognized in data sets such as broadcasts, advertisements, and more.
- Long-Form Video Support
Recognize logos in short-form or long-form video recordings.
- Flexible Deployment
Deploy in a new or integrate into an existing application in the cloud via aiWARE GraphQL APIs, or with a subset that can be deployed on-premise via a Docker container. Learn more.
- Powered by an AI Ecosystem
Leverage advanced logo detection machine learning algorithms from the Veritone managed cognitive engine ecosystem — including algorithms from Veritone, niche providers, and industry giants.