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Segmentation and Identification of Mediterranean Plant Species

Kaur, Parminder; Gigante, Daniela; Caccianiga, Marco; Bagella, Simonetta; Angiolini, Claudia; Garabini, Manolo; Angelini, Franco; Remagnino, Paolo

Authors

Daniela Gigante

Marco Caccianiga

Simonetta Bagella

Claudia Angiolini

Manolo Garabini

Franco Angelini



Abstract

Recently, object recognition and image segmentation have gained much attention in the computer vision field and image processing for effective object localisation and identification. Researchers have applied semantic segmentation and instance segmentation in diverse application areas. However, the least research has been performed in natural habitat monitoring or plant species identification in natural environments/surroundings. For this study, we composed a real image dataset from four habitats: forests, dunes, grasslands, and screes from various locations in Italy. Habitat expert botanists annotated the data using bounding box annotations which have been further utilised to generate the plant species masks using the recently proposed Segment Anything Model (SAM) for segmentation, localisation, and identification tasks. Extensive experimentation has been performed on habitat data with bounding boxes and masks using YOLOv8 detection and segmentation models. Comparative analysis of models, model training with different train data percentages, and the importance of masks over bounding boxes have been studied and discussed.

Citation

Kaur, P., Gigante, D., Caccianiga, M., Bagella, S., Angiolini, C., Garabini, M., …Remagnino, P. (2023). Segmentation and Identification of Mediterranean Plant Species. In Advances in Visual Computing 18th International Symposium, ISVC 2023, Lake Tahoe, NV, USA, October 16–18, 2023, Proceedings, Part II (431-442). https://doi.org/10.1007/978-3-031-47966-3_34

Presentation Conference Type Conference Paper (Published)
Conference Name ISVC 2023: 18th International Symposium on Visual Computing
Start Date Oct 16, 2023
End Date Oct 18, 2023
Acceptance Date Aug 28, 2023
Online Publication Date Dec 3, 2023
Publication Date 2023
Deposit Date Oct 24, 2023
Publicly Available Date Dec 4, 2024
Publisher Springer
Volume 14362
Pages 431-442
Series Title Lecture Notes in Computer Science
Series ISSN 0302-9743
Book Title Advances in Visual Computing 18th International Symposium, ISVC 2023, Lake Tahoe, NV, USA, October 16–18, 2023, Proceedings, Part II
ISBN 9783031479656
DOI https://doi.org/10.1007/978-3-031-47966-3_34
Public URL https://durham-repository.worktribe.com/output/1815672

Files

This file is under embargo until Dec 4, 2024 due to copyright restrictions.




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