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Showing 1 to 3 of 3 for “"Fish detection"”.
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A Study on Deepsea Fish Detection Using Convolutional Neural Networks
… methodologies for two primary tasks, firstly fish and its habitat classification and deep-sea fish detection using the DeepFish dataset. A pretrained ResNet-50 model attained a validation accuracy of 82.8% for multi-class habitat classification, demonstrating robust performance in most …
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Automating Video Analysis for Marine and Behavioural Research: Deep Learning Solutions to Analytical Bottlenecks
… bottleneck, demonstrating how YOLO-based object detection can accelerate inference in video analysis and enable novel analyses. Chapter 2 presents an automated pipeline for estimating abundance in Baited Remote Underwater Video (BRUV) data from offshore wind farms in the northern North Sea. BRUV …
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Canine scent detection: A new approach to detect invasive freshwater fish
… native species. Methods such as netting, electrofishing, and environmental DNA (eDNA) are used to detect and monitor invasive fish species. However, these methods can be labour intensive, expensive, and can have low sensitivity when fish are rare or elusive. Although scent-detection dogs have …