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

Afonso Costa, Afonso Costa, André Ferreira, André Ferreira, João 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