Summary of BirdNET performance (F1 score) for each parameter, averaged across all combinations of the other parameters and aggregation levels. Values represent the range and mean ± standard deviation of observed F1 scores.
<p>Summary of BirdNET performance (F1 score) for each parameter, averaged across all combinations of the other parameters and aggregation levels. Values represent the range and mean ± standard deviation of observed F1 scores.</p>
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , |
| منشور في: |
2025
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| الموضوعات: | |
| الوسوم: |
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| _version_ | 1852016722064703488 |
|---|---|
| author | Andrew J. Fairbairn (22231970) |
| author2 | Josija-Simeon Burmeister (22231973) Wolfgang W. Weisser (7849970) Sebastian T. Meyer (11369169) |
| author2_role | author author author |
| author_facet | Andrew J. Fairbairn (22231970) Josija-Simeon Burmeister (22231973) Wolfgang W. Weisser (7849970) Sebastian T. Meyer (11369169) |
| author_role | author |
| dc.creator.none.fl_str_mv | Andrew J. Fairbairn (22231970) Josija-Simeon Burmeister (22231973) Wolfgang W. Weisser (7849970) Sebastian T. Meyer (11369169) |
| dc.date.none.fl_str_mv | 2025-09-11T17:26:01Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0330836.t002 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Summary_of_BirdNET_performance_F1_score_for_each_parameter_averaged_across_all_combinations_of_the_other_parameters_and_aggregation_levels_Values_represent_the_range_and_mean_standard_deviation_of_observed_F1_scores_/30105587 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Ecology Science Policy Biological Sciences not elsewhere classified sometimes large number confirmation test revealed 46 &# 8211 using 24 combinations four temporal aggregations algorithm &# 8217 acoustic bird monitoring yield results comparable xlink "> birdnet recognising bird species birdnet came close higher temporal aggregation species falsely identified 23 species identified specific confidence thresholds expert identification using temporal aggregation using species expert identification species identification confidence threshold algorithm could acoustic dataset results showed aggregating results well understood still limitations single site significantly interacted powerful approach parameter settings parameter setting models showed longer periods leading tool ecological research basic validation audio recordings alternative strategy 84 ). |
| dc.title.none.fl_str_mv | Summary of BirdNET performance (F1 score) for each parameter, averaged across all combinations of the other parameters and aggregation levels. Values represent the range and mean ± standard deviation of observed F1 scores. |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <p>Summary of BirdNET performance (F1 score) for each parameter, averaged across all combinations of the other parameters and aggregation levels. Values represent the range and mean ± standard deviation of observed F1 scores.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_968e02efa093095dcda5e4e87d5e6321 |
| identifier_str_mv | 10.1371/journal.pone.0330836.t002 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/30105587 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Summary of BirdNET performance (F1 score) for each parameter, averaged across all combinations of the other parameters and aggregation levels. Values represent the range and mean ± standard deviation of observed F1 scores.Andrew J. Fairbairn (22231970)Josija-Simeon Burmeister (22231973)Wolfgang W. Weisser (7849970)Sebastian T. Meyer (11369169)EcologyScience PolicyBiological Sciences not elsewhere classifiedsometimes large numberconfirmation test revealed46 &# 8211using 24 combinationsfour temporal aggregationsalgorithm &# 8217acoustic bird monitoringyield results comparablexlink "> birdnetrecognising bird speciesbirdnet came closehigher temporal aggregationspecies falsely identified23 species identifiedspecific confidence thresholdsexpert identification usingtemporal aggregationusing speciesexpert identificationspecies identificationconfidence thresholdalgorithm couldacoustic datasetresults showedaggregating resultswell understoodstill limitationssingle sitesignificantly interactedpowerful approachparameter settingsparameter settingmodels showedlonger periodsleading toolecological researchbasic validationaudio recordingsalternative strategy84 ).<p>Summary of BirdNET performance (F1 score) for each parameter, averaged across all combinations of the other parameters and aggregation levels. Values represent the range and mean ± standard deviation of observed F1 scores.</p>2025-09-11T17:26:01ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0330836.t002https://figshare.com/articles/dataset/Summary_of_BirdNET_performance_F1_score_for_each_parameter_averaged_across_all_combinations_of_the_other_parameters_and_aggregation_levels_Values_represent_the_range_and_mean_standard_deviation_of_observed_F1_scores_/30105587CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/301055872025-09-11T17:26:01Z |
| spellingShingle | Summary of BirdNET performance (F1 score) for each parameter, averaged across all combinations of the other parameters and aggregation levels. Values represent the range and mean ± standard deviation of observed F1 scores. Andrew J. Fairbairn (22231970) Ecology Science Policy Biological Sciences not elsewhere classified sometimes large number confirmation test revealed 46 &# 8211 using 24 combinations four temporal aggregations algorithm &# 8217 acoustic bird monitoring yield results comparable xlink "> birdnet recognising bird species birdnet came close higher temporal aggregation species falsely identified 23 species identified specific confidence thresholds expert identification using temporal aggregation using species expert identification species identification confidence threshold algorithm could acoustic dataset results showed aggregating results well understood still limitations single site significantly interacted powerful approach parameter settings parameter setting models showed longer periods leading tool ecological research basic validation audio recordings alternative strategy 84 ). |
| status_str | publishedVersion |
| title | Summary of BirdNET performance (F1 score) for each parameter, averaged across all combinations of the other parameters and aggregation levels. Values represent the range and mean ± standard deviation of observed F1 scores. |
| title_full | Summary of BirdNET performance (F1 score) for each parameter, averaged across all combinations of the other parameters and aggregation levels. Values represent the range and mean ± standard deviation of observed F1 scores. |
| title_fullStr | Summary of BirdNET performance (F1 score) for each parameter, averaged across all combinations of the other parameters and aggregation levels. Values represent the range and mean ± standard deviation of observed F1 scores. |
| title_full_unstemmed | Summary of BirdNET performance (F1 score) for each parameter, averaged across all combinations of the other parameters and aggregation levels. Values represent the range and mean ± standard deviation of observed F1 scores. |
| title_short | Summary of BirdNET performance (F1 score) for each parameter, averaged across all combinations of the other parameters and aggregation levels. Values represent the range and mean ± standard deviation of observed F1 scores. |
| title_sort | Summary of BirdNET performance (F1 score) for each parameter, averaged across all combinations of the other parameters and aggregation levels. Values represent the range and mean ± standard deviation of observed F1 scores. |
| topic | Ecology Science Policy Biological Sciences not elsewhere classified sometimes large number confirmation test revealed 46 &# 8211 using 24 combinations four temporal aggregations algorithm &# 8217 acoustic bird monitoring yield results comparable xlink "> birdnet recognising bird species birdnet came close higher temporal aggregation species falsely identified 23 species identified specific confidence thresholds expert identification using temporal aggregation using species expert identification species identification confidence threshold algorithm could acoustic dataset results showed aggregating results well understood still limitations single site significantly interacted powerful approach parameter settings parameter setting models showed longer periods leading tool ecological research basic validation audio recordings alternative strategy 84 ). |