Abstract
The present disclosure describes systems and methods that leverage one or more machine learning techniques or machine-learned models to perform a large scale statistical assessment of the visibility of an advertising campaign. More particularly, a processing pipeline is provided that takes input imagery and outputs an indication of a visibility of a brand. The pipeline can include a brand recognition neural network and a brand visibility scoring engine. Keywords associated with the present disclosure include: machine learning; neural network; deep learning; model; training; image; imagery; advertisement; advertising; ads; campaign, brand; logo; visibility; effectiveness; score; location; traffic; emblem; trademark; label.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Banerjee, Sujoy and Greene, Michael, "ASSESSING BRAND VISIBILITY USING MACHINE LEARNING", Technical Disclosure Commons, (October 05, 2016)
https://www.tdcommons.org/dpubs_series/285