Faster Bounding Box Annotation for Object Detection in Indoor Scenes
Published in 7th European Workshop on Visual Information Processing (EUVIP), 2018
This paper proposes an approach for rapid bounding box annotation for object detection datasets. The procedure consists of two stages: The first step is to annotate a part of the dataset manually, and the second step proposes annotations for the remaining samples using a model trained with the first stage annotations.
Download arXiv version of the paper from here
Fully labeled dataset can be downloaded from here
Cite this article as:
@INPROCEEDINGS{8611732,
author={Adhikari, Bishwo and Peltomaki, Jukka and Puura, Jussi and Huttunen, Heikki},
booktitle={2018 7th European Workshop on Visual Information Processing (EUVIP)},
title={Faster Bounding Box Annotation for Object Detection in Indoor Scenes},
year={2018},
pages={1-6},
doi={10.1109/EUVIP.2018.8611732}}