See-weed: Detecting Storefront Advertising of Age-restricted Retailers
The youth across King County are rampantly being exposed to age-restricted products like Marijuana, Tobacco, Vapes etc. To address the issue, we partnered with King County and built a computer vision model that analyzes the storefront images of age-restricted retailers and categorizes them into different groups based on advertisement aggressiveness or intensity. The advertisement intensity groups are classified as ‘High’, ‘Medium’, and ‘Low’. The results will help recommend suitable actions to create a safer advertising space. This will also enable various regulatory bodies to create awareness among the youth and bring necessary policy reforms to prevent unhealthy advertising.
Project sponsored by: King County
Project participants:
Nakul Sarwate
MSIM
Pallavi Banerjee
MSIM
Urvi Chaudhary
MSIM
Varsha Gururaj
MSIM