Automatic Generation of Web Advertising Layouts: A Synthetic Dataset and a Deep Learning Baseline Model

Automatic generation of advertising layouts shows high economic interest, but as identified with our industrial partner, there is no public document layout dataset that matches this particular application. In this context, we produced two synthetic datasets that allow both the evaluation and training of any learning model on web advertising layout generation, and a small dataset of real cases to demonstrate the contribution of our work. We compared the results obtained by different learning models on the real cases, with and without prior use of our synthetic datasets, and our results show that these datasets allow to build and decisively improve models for the generation of real-world advertising layouts. Our three datasets, as well as useful data processing tools, are available at: https://github.com/romain-rsr/synth_datasets_for_web_advertising_layout/tree/master