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Oktoberfest Food Dataset

Food object detection

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.

View this Dataset
->
TUM
https://www.tum.de
Task
Object Detection
Annotation Types
Bounding Boxes
2696
Items
15
Classes
1110
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Unknown
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