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arXiv · 1912.05007

Oktoberfest Food Dataset

Alexander Ziller·Julius Hansjakob·Vitalii Rusinov·Daniel Zügner·Peter Vogel·Stephan Günnemann
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Abstract

We release a realistic, diverse, and challenging dataset for object detection on images. The data was recorded at a beer tent in Germany and consists of 15 different categories of food and drink items. We created more than 2,500 object annotations by hand for 1,110 images captured by a video camera above the checkout. We further make available the remaining 600GB of (unlabeled) data containing days of footage. Additionally, we provide our trained models as a benchmark. Possible applications include automated checkout systems which could significantly speed up the process.

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Alexander Ziller, Julius Hansjakob, Vitalii Rusinov, Daniel Zügner, Peter Vogel, Stephan Günnemann. 2019-11-22. Oktoberfest Food Dataset. https://arxiv.org/abs/1912.05007

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