DeepScanner: a Robotic System for Automated 2D Object Dataset Collection with Annotations

• URL: http://arxiv.org/abs/2108.02555v1
• Date: Thu, 5 Aug 2021 12:21:18 GMT
• Title: DeepScanner: a Robotic System for Automated 2D Object Dataset Collection with Annotations
• Authors: Valery Ilin, Ivan Kalinov, Pavel Karpyshev, Dzmitry Tsetserukou
• Abstract summary: We describe the possibility of automated dataset collection using an articulated robot. The proposed technology reduces the number of pixel errors on a polygonal dataset and the time spent on manual labeling of 2D objects.
• Score: 4.0423807111935295
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: In the proposed study, we describe the possibility of automated dataset collection using an articulated robot. The proposed technology reduces the number of pixel errors on a polygonal dataset and the time spent on manual labeling of 2D objects. The paper describes a novel automatic dataset collection and annotation system, and compares the results of automated and manual dataset labeling. Our approach increases the speed of data labeling 240-fold, and improves the accuracy compared to manual labeling 13-fold. We also present a comparison of metrics for training a neural network on a manually annotated and an automatically collected dataset.

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