Crynodeb
Crabs and lobsters are valuable crustaceans that contribute enormously to the seafood needs of the growing human population. This paper presents a comprehensive analysis of single- and multi-stage object detectors for the detection of crabs and lobsters using images captured onboard fishing boats. We investigate the speed and accuracy of multiple object detection techniques using a novel dataset, multiple backbone networks, various input sizes, and fine-tuned parameters. We extend our work to train lightweight models to accommodate the fishing boats equipped with low-power hardware systems. Firstly, we train Faster R-CNN, SSD, and YOLO with different backbones and tuning parameters. The models trained with higher input sizes resulted in lower frames per second (FPS) and vice versa. The base models were highly accurate but were compromised in computational and run-time costs. The lightweight models were adaptable to low-power hardware compared to the base models. Secondly, we improved the performance of YOLO (v3, v4, and tiny versions) using custom anchors generated by the k-means clustering approach using our novel dataset. The YOLO (v4 and it’s tiny version) achieved mean average precision (mAP) of 99.2% and 95.2%, respectively. The YOLOv4-tiny trained on the custom anchor-based dataset is capable of precisely detecting crabs and lobsters onboard fishing boats at 64 frames per second (FPS) on an NVidia GeForce RTX 3070 GPU. The Results obtained identified the strengths and weaknesses of each method towards a trade-off between speed and accuracy for detecting objects in input images.
Iaith wreiddiol | Saesneg |
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Rhif yr erthygl | 119 |
Cyfnodolyn | Computers |
Cyfrol | 13 |
Rhif cyhoeddi | 5 |
Dyddiad ar-lein cynnar | 11 Mai 2024 |
Dynodwyr Gwrthrych Digidol (DOIs) | |
Statws | Cyhoeddwyd - 11 Mai 2024 |
Ôl bys
Gweld gwybodaeth am bynciau ymchwil 'Detection of Crabs and Lobsters Using a Benchmark Single-Stage Detector and Novel Fisheries Dataset'. Gyda’i gilydd, maen nhw’n ffurfio ôl bys unigryw.Y Wasg / Y Cyfryngau
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New Computer Science Research from Aberystwyth University Described (Detection of Crabs and Lobsters Using a Benchmark Single-Stage Detector and Novel Fisheries Dataset)
31 Mai 2024
1 eitem o Sylw ar y cyfryngau
Y Wasg / Cyfryngau: Sylw yn y cyfryngau