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GET-Forschungsseminar Abstracts

Semi-automatic dataset creation for a convolutional neural network

Bashar Tomeh, GET Lab

Vortrag: Mi. 13.06.2018, 16:30, Raum P 1.4.17


Generating training data for CNNs is a challenging and time-consuming task. In the RoboCup scenario, this is typically performed manually. This presentation focuses on a new approach to generate training data by automatic labeling of videos using an object tracker. A user interface for selecting good training examples further facilitates the process. The dataset was tested with a single shot detector and compared to an existing manually generated dataset.