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Document type:
Forschungsdaten 
Responsible:
Zügner, Daniel; Ziller, Alexander; Hansjakob, Julius 
Authors:
Ziller, Alexander; Hansjakob, Julius; Rusinov, Vitalii; Zügner, Daniel; Vogel, Peter; Günnemann, Stephan 
Author affiliation:
TUM 
Publisher:
TUM 
Title:
Oktoberfest Food Dataset 
Time of production:
27.04.2019 
Subject area:
DAT Datenverarbeitung, Informatik 
Resource type:
Abbildungen von Objekten / image of objects 
Data type:
Bilder / images; Video-Aufzeichnungen / audiovisual collection; Tabellen / tables 
Other data type:
Object detection markers 
Description:
Dataset for Object Detection in Machine Learning: The dataset contains 600GB of unlabeled video data from eleven days displaying the counter in a beer tent from four different camera angles. From this dataset 1110 images with 2696 objects from 15 different classes were extracted and annotated. 
Key words:
Machine Learning; Deep Learning; Dataset; Object Detection; Computer Vision; Food 
Technical remarks:
View and download
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The data server also offers downloads with rsync (password m1487154):
rsync rsync://m1487154@dataserv.ub.tum.de/m1487154/ 
Language:
en 
Rights:
by-sa, http://creativecommons.org/licenses/by-sa/4.0