Oktoberfest Food Dataset

by Alexander Ziller,Julius Hansjakob,Vitalii Rusinov,Daniel Z,Peter Vogel,Stephan GUnknown

Oktoberfest Food Dataset

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.

Dataset Attributes

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TasksDetection
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CategoriesFood, Drink
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No. of Images1,195
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No. of Labels2,931
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Dataset Size728 MB
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SensorRGB Camera