DeepScanner：アノテーション付き2D物体データセットを自動収集するロボットシステム
DeepScanner: a Robotic System for Automated 2D Object Dataset Collection with Annotations
多関節ロボットを用いて2D物体データセットの収集とアノテーションを自動化し、手動ラベリングと比較して240倍高速・13倍高精度を実現した研究。
著者: Valery Ilin, Ivan Kalinov, Pavel Karpyshev, Dzmitry Tsetserukou
分類: cs.RO, cs.LG
原文アブストラクト
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.
