A deep learning approach to identify unhealthy advertisements in street view images

07/09/2020
by   Gregory Palmer, et al.
0

While outdoor advertisements are common features within towns and cities, they may reinforce social inequalities in health. Vulnerable populations in deprived areas may have greater exposure to fast food, gambling and alcohol advertisements encouraging their consumption. Understanding who is exposed and evaluating potential policy restrictions requires a substantial manual data collection effort. To address this problem we develop a deep learning workflow to automatically extract and classify unhealthy advertisements from street-level images. We introduce the Liverpool 360 degree Street View (LIV360SV) dataset for evaluating our workflow. The dataset contains 26,645, 360 degree, street-level images collected via cycling with a GoPro Fusion camera, recorded Jan 14th – 18th 2020. 10,106 advertisements were identified and classified as food (1335), alcohol (217), gambling (149) and other (8405) (e.g., cars and broadband). We find evidence of social inequalities with a larger proportion of food advertisements located within deprived areas, and those frequented by students and children carrying excess weight. Our project presents a novel implementation for the incidental classification of street view images for identifying unhealthy advertisements, providing a means through which to identify areas that can benefit from tougher advertisement restriction policies for tackling social inequalities.

READ FULL TEXT

page 1

page 4

page 6

page 7

page 9

page 10

09/20/2023

Self-supervised learning unveils change in urban housing from street-level images

Cities around the world face a critical shortage of affordable and decen...
10/31/2022

Road Damages Detection and Classification with YOLOv7

Maintaining the roadway infrastructure is one of the essential factors i...
02/05/2020

Geocoding of trees from street addresses and street-level images

We introduce an approach for updating older tree inventories with geogra...
12/23/2017

Combining Weakly and Webly Supervised Learning for Classifying Food Images

Food classification from images is a fine-grained classification problem...
11/20/2017

#Halal Culture on Instagram

Halal is a notion that applies to both objects and actions, and means pe...
05/28/2022

Visual Perception of Building and Household Vulnerability from Streets

In developing countries, building codes often are outdated or not enforc...

Please sign up or login with your details

Forgot password? Click here to reset