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...

Full description

Bibliographic Details
Main Author: Schueler, Jeffrey
Format: Article in Journal/Newspaper
Language:English
Published: Zenodo 2024
Subjects:
Python3
YOLOv8
Deep Learning
Object Detection
Migdal Effect
Dark Matter
MIGDAL Experiment
Orca
Online Access:https://dx.doi.org/10.5281/zenodo.12628436
https://zenodo.org/doi/10.5281/zenodo.12628436
id ftdatacite:10.5281/zenodo.12628436
record_format openpolar
spelling ftdatacite:10.5281/zenodo.12628436 2024-09-15T18:28:55+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.12628436 https://zenodo.org/doi/10.5281/zenodo.12628436 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.12628437 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.1262843610.5281/zenodo.12628437 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
institution Open Polar
collection DataCite
op_collection_id 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.12628436
https://zenodo.org/doi/10.5281/zenodo.12628436
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.12628437
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.1262843610.5281/zenodo.12628437
_version_ 1810470339133571072

Similar Items