Web based Object Annotation Tool using a Triplet-ReID Sorting Approach

Afonso Costa, Afonso Costa, André L. Ferreira, André L. Ferreira, João M. Fernandes

2021

Abstract

The robustness of the object detection methods has seen an increasing attention, which leads to a desire for more control over the training and testing phases. In practice, the need for labelling unique objects present on a dataset can be of help. However, manually labelling datasets of considerable size can be impractical. This paper describes an approach to improve labelling information of a dataset by supporting an object re-identification task. The primary objective is to find repeated objects in the dataset. The proposed solution relies on a web-based application that allows the user to choose which of the similar objects returned by the Triplet-ReID method are in fact the same as the query object. The effectiveness of the method was tested on a dataset with considerable object variability. Experimental results show a viable sorting performance associated with considerable speed improvement when compared to a traditional labelling approach. In fact, a dataset with 55 unique objects in a total of 1098 images would take 18 hours with a traditional tool and 12 hours with proposed one. Moreover, given the generic architecture of the developed framework, it can certainly be applied to a wide range of use cases.

Paper Citation

in Harvard Style

Costa A., Ferreira A. and Fernandes J. (2021). Web based Object Annotation Tool using a Triplet-ReID Sorting Approach.In Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-486-2, pages 279-286. DOI: 10.5220/0010253102790286

in Bibtex Style

@conference{icpram21,
author={Afonso Costa and André Ferreira and João Fernandes},
title={Web based Object Annotation Tool using a Triplet-ReID Sorting Approach},
booktitle={Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2021},
pages={279-286},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010253102790286},
isbn={978-989-758-486-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Web based Object Annotation Tool using a Triplet-ReID Sorting Approach
SN - 978-989-758-486-2
AU - Costa A.
AU - Ferreira A.
AU - Fernandes J.
PY - 2021
SP - 279
EP - 286
DO - 10.5220/0010253102790286