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Making Object Detection Available to Everyone - A Hardware Prototype for Semi-automatic Synthetic Data Generation

: Besginow, Andreas; Büttner, Sebastian; Röcker, Carsten


Streitz, N.:
Distributed, Ambient and Pervasive Interactions. 8th International Conference, DAPI 2020. Proceedings : Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19-24, 2020, held virtually
Cham: Springer Nature, 2020 (Lecture Notes in Computer Science 12203)
ISBN: 978-3-030-50343-7 (Print)
ISBN: 978-3-030-50344-4 (Online)
ISBN: 978-3-030-50345-1
International Conference on Distributed, Ambient and Pervasive Interactions (DAPI) <8, 2020, Online>
International Conference on Human-Computer Interaction (HCI International) <22, 2020, Online>
Conference Paper
Fraunhofer IOSB ()

The capabilities of object detection are well known, but many projects don’t use them, despite potential benefit. Even though the use of object detection algorithms is facilitated through frameworks and publications, a big issue is the creation of the necessary training data. To tackle this issue, this work shows the design and evaluation of a prototype, which allows users to create synthetic datasets for object detection in images. The prototype is evaluated using YOLOv3 as the underlying detector and shows that the generated datasets are equally good in quality as manually created data. This encourages a wide adoption of object detection algorithms in different areas, since image creation and labeling is often the most time consuming step.