migYOLO - An end-to-end YOLOv8-based object detection pipeline for CMOS camera images recorded by the MIGDAL experiment ...
migYOLO v1.0.0 migYOLO is the software accompanying the MIGDAL collaboration paper titled Transforming a rare event search into a not-so-rare event search in real-time with deep learning-based object detection. This package includes model weights for two YOLOv8m models custom trained on image data r...
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Online Access: | https://dx.doi.org/10.5281/zenodo.12628437 https://zenodo.org/doi/10.5281/zenodo.12628437 |
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ftdatacite:10.5281/zenodo.12628437 2024-09-15T18:28:54+00:00 migYOLO - An end-to-end YOLOv8-based object detection pipeline for CMOS camera images recorded by the MIGDAL experiment ... Schueler, Jeffrey 2024 https://dx.doi.org/10.5281/zenodo.12628437 https://zenodo.org/doi/10.5281/zenodo.12628437 en eng Zenodo https://github.com/jschuel/migYOLO/tree/v1.0.0 https://migyolo.readthedocs.io/en/latest/index.html https://github.com/jschuel/migYOLO/tree/v1.0.0 https://migyolo.readthedocs.io/en/latest/index.html https://dx.doi.org/10.5281/zenodo.12628436 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Python3 YOLOv8 Deep Learning Object Detection Migdal Effect Dark Matter MIGDAL Experiment article SoftwareSourceCode Software 2024 ftdatacite https://doi.org/10.5281/zenodo.1262843710.5281/zenodo.12628436 2024-08-01T09:41:50Z migYOLO v1.0.0 migYOLO is the software accompanying the MIGDAL collaboration paper titled Transforming a rare event search into a not-so-rare event search in real-time with deep learning-based object detection. This package includes model weights for two YOLOv8m models custom trained on image data recorded by the ORCA Quest qCMOS camera readout of the MIGDAL TPC, as well as a sample of 800 raw camera images to demonstrate usage of the pipeline, and 400 additional camera frames for benchmarking the processing speed of the camera. Please consult the migYOLO git repository and official documentation for more detailed descriptions of the software package and its contents, as well as up to date information about installation and usage. ... Article in Journal/Newspaper Orca DataCite |
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Open Polar |
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ftdatacite |
language |
English |
topic |
Python3 YOLOv8 Deep Learning Object Detection Migdal Effect Dark Matter MIGDAL Experiment |
spellingShingle |
Python3 YOLOv8 Deep Learning Object Detection Migdal Effect Dark Matter MIGDAL Experiment Schueler, Jeffrey migYOLO - An end-to-end YOLOv8-based object detection pipeline for CMOS camera images recorded by the MIGDAL experiment ... |
topic_facet |
Python3 YOLOv8 Deep Learning Object Detection Migdal Effect Dark Matter MIGDAL Experiment |
description |
migYOLO v1.0.0 migYOLO is the software accompanying the MIGDAL collaboration paper titled Transforming a rare event search into a not-so-rare event search in real-time with deep learning-based object detection. This package includes model weights for two YOLOv8m models custom trained on image data recorded by the ORCA Quest qCMOS camera readout of the MIGDAL TPC, as well as a sample of 800 raw camera images to demonstrate usage of the pipeline, and 400 additional camera frames for benchmarking the processing speed of the camera. Please consult the migYOLO git repository and official documentation for more detailed descriptions of the software package and its contents, as well as up to date information about installation and usage. ... |
format |
Article in Journal/Newspaper |
author |
Schueler, Jeffrey |
author_facet |
Schueler, Jeffrey |
author_sort |
Schueler, Jeffrey |
title |
migYOLO - An end-to-end YOLOv8-based object detection pipeline for CMOS camera images recorded by the MIGDAL experiment ... |
title_short |
migYOLO - An end-to-end YOLOv8-based object detection pipeline for CMOS camera images recorded by the MIGDAL experiment ... |
title_full |
migYOLO - An end-to-end YOLOv8-based object detection pipeline for CMOS camera images recorded by the MIGDAL experiment ... |
title_fullStr |
migYOLO - An end-to-end YOLOv8-based object detection pipeline for CMOS camera images recorded by the MIGDAL experiment ... |
title_full_unstemmed |
migYOLO - An end-to-end YOLOv8-based object detection pipeline for CMOS camera images recorded by the MIGDAL experiment ... |
title_sort |
migyolo - an end-to-end yolov8-based object detection pipeline for cmos camera images recorded by the migdal experiment ... |
publisher |
Zenodo |
publishDate |
2024 |
url |
https://dx.doi.org/10.5281/zenodo.12628437 https://zenodo.org/doi/10.5281/zenodo.12628437 |
genre |
Orca |
genre_facet |
Orca |
op_relation |
https://github.com/jschuel/migYOLO/tree/v1.0.0 https://migyolo.readthedocs.io/en/latest/index.html https://github.com/jschuel/migYOLO/tree/v1.0.0 https://migyolo.readthedocs.io/en/latest/index.html https://dx.doi.org/10.5281/zenodo.12628436 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.5281/zenodo.1262843710.5281/zenodo.12628436 |
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1810470338436268032 |