Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 13 of 13 for “"YOLOv8"”.
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Metodologia e plataforma baseadas em aprendizado de máquina para inspeção de defeitos na indústria têxtil
… comparing eight approaches, including YOLOv5, YOLOv8 variants, and popular networks in the literature, using the TILDA 400 dataset, composed of five distinct defect classes. The YOLOv8 models stood out, especially YOLOv8 medium, which achieved 90.35% accuracy with an inference time of 0.5ms on …
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Design of an autonomous litter detection and collection system for Icelandic beaches
… video streams and telemetry to a base station. A YOLOv8 detection model identifies trash objects in the video frames, and the location of these objects is calculated relative to the drone's position and stored in a database. This data can be used to dispatch autonomous pickup drones based on the …
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Spinel: a framework for counting wheat spikes and kernels using UAV and ground-based imaging in breeding fields
… The framework employs three distinct YOLOv8 models tailored to specific detection tasks. UAV-based imaging and infield imaging through mobile cameras are used to address the different scales of imaging required: UAV imaging for whole-field analysis and infield imaging for detailed …
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Detekce objektu s využitím hloubkových dat
… na ktorých sa testovali upravené modely YOLOv5 a YOLOv8. Experimenty skúmali rôzne reprezentácie hĺbkových informácií a analyzovali, ako integrácia hĺbkových dát zlepšuje výkon týchto modelov. Výsledky ukázali výrazné zlepšenie metrík mAP pri porovnaní s klasickými modelmi využívajúcimi iba RGB …
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Uncertainty Estimation for Single Stage Object Detection
… Monte Carlo Dropout within the state-of-the-art YOLOv8 architecture, assessing their ability to capture aleatoric and epistemic uncertainty across a corruption-augmented COCO dataset. Various Monte Carlo Dropout configurations with different dropout locations were explored; however, Deep …
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A Study in Object Detection and Classification Performance by Sensing Modality for Autonomous Surface Vessels
… categories using two representative models. YOLOv8 provides a neural network vision-based method, and GB-CACHE provides a deterministic LiDAR-based method. Both models have been previously demonstrated to run in real time on uncrewed surface vessels (USVs). The evaluation methodology …
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Development of an innovative and efficient urban vegetation monitoring system for sustainable urban ecology
… systems, this thesis employed the YOLOv5 and YOLOv8 models for automated urban vegetation detection using RGB images from car-mounted cameras. The models were chosen for their effectiveness in image recognition, with various image augmentation techniques and annotation tools enriching the …
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Sistema de detección de plagas basado en visión computacional para los cultivos de vid de la zona sur del Perú
… Learning se entrenaron y compararon los modelos YOLOv8 y RetinaNet para la detección de Esca y la Spodoptera frugiperda en las hojas de los cultivos de vid, obteniendo un mAP@0.5 78,2% para el primer modelo y un mAP@0.5 84,5% para el segundo. Finalmente, se usó el modelo seleccionado en una …
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INSIGHT : intelligent navigation system for integrated guidance haptic technologies
… of the You Only Look Once, Version 8 (YOLOv8) object detection model. A gesture‐based interaction system was employed, using tap and hold gestures to switch between two operational modes: ’General Mode’, which provides auditory announcements of nearby objects, and ’Specific Mode’, which …
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A model generalization study in localizing indoor cows with cow localization (colo) dataset
… performance and generalization capabilities of YOLOv8 and YOLOv9 model variants using this dataset. Our analysis assesses model robustness across different lighting and viewpoint configurations and explores the trade-off between model complexity, defined by the number of learnable parameters, …
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Improved 2D Camera-Based Multi-Object Tracking for Autonomous Vehicles
… framework, we enhance detection by fine-tuning YOLOv8 and YOLOv9 models using autonomous driving datasets like BDD100K and KITTI, which are specifically tailored for these scenarios. Additionally, we incorporate a non-linear approach using the UKF to better capture the influence of various …
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The sorting hat: An automated activity index based on finishing pig behavior
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2027-05-01