Object detection for crabs in top-view seabed imagery
Object detection for crabs in top-view seabed imagery
This report presents the application of object detection on a database of underwater images of different species of crabs, as well as aerial images of sea lions and finally the Pascal VOC dataset. The model is an end-to-end object detection neural network based on a convolutional network base and a Long Short-Term Memory detector.
cs.CV, cs.LG
Velici, Vlad
9c9e1a57-8667-4239-a31d-234da5ce9f4b
Prügel-Bennett, Adam
b107a151-1751-4d8b-b8db-2c395ac4e14e
2 May 2021
Velici, Vlad
9c9e1a57-8667-4239-a31d-234da5ce9f4b
Prügel-Bennett, Adam
b107a151-1751-4d8b-b8db-2c395ac4e14e
Velici, Vlad and Prügel-Bennett, Adam
(2021)
Object detection for crabs in top-view seabed imagery.
arXiv.
Abstract
This report presents the application of object detection on a database of underwater images of different species of crabs, as well as aerial images of sea lions and finally the Pascal VOC dataset. The model is an end-to-end object detection neural network based on a convolutional network base and a Long Short-Term Memory detector.
More information
Published date: 2 May 2021
Keywords:
cs.CV, cs.LG
Identifiers
Local EPrints ID: 449307
URI: http://eprints.soton.ac.uk/id/eprint/449307
ISSN: 2331-8422
PURE UUID: 1f8a27a0-758f-48db-b1d8-13190af54ea7
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Date deposited: 24 May 2021 16:30
Last modified: 16 Mar 2024 12:20
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Contributors
Author:
Vlad Velici
Author:
Adam Prügel-Bennett
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