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Assessment of BirdNetR classification accuracy in passive acoustic monitoring of reedbed birds / BirdNet klasifikatora precizitātes novērtējums niedrāju putnu pasīvā akustiskajā monitoringā May 28, 2026 Locs, Mārtiņš, 2026, "Assessment of BirdNetR classification accuracy in passive acoustic monitoring of reedbed birds / BirdNet klasifikatora precizitātes novērtējums niedrāju putnu pasīvā akustiskajā monitoringā", https://doi.org/10.71782/DATA/FGYBPI, DataverseLV, V1, UNF:6:066QXtZICNQDYrxCHKAufg== [fileUNF] [ENG] This repository was created to maintain and ensure the storage of large files of the bachelor's thesis, as well as to reproduce the work progress and results. The study evaluated the accuracy of the deep learning classifier BirdNet in passive acoustic monitoring of reed birds in Latvia. Autonomous recording units were placed in 24 randomly se...
Ainava_vienk_mask.tif May 28, 2026 - Assessment of BirdNetR classification accuracy in passive acoustic monitoring of reedbed birds / BirdNet klasifikatora precizitātes novērtējums niedrāju putnu pasīvā akustiskajā monitoringā TIFF Image - 209.2 MB - MD5: 2ab3e8e1c953043857b0d467b350592b
BirdNet_PAM_LV_ReadMe_EN.txt May 28, 2026 - Assessment of BirdNetR classification accuracy in passive acoustic monitoring of reedbed birds / BirdNet klasifikatora precizitātes novērtējums niedrāju putnu pasīvā akustiskajā monitoringā Plain Text - 5.2 KB - MD5: 1c44461fd0d64300ef02da301844203c
BirdNet_PAM_LV_ReadMe_LV.txt May 28, 2026 - Assessment of BirdNetR classification accuracy in passive acoustic monitoring of reedbed birds / BirdNet klasifikatora precizitātes novērtējums niedrāju putnu pasīvā akustiskajā monitoringā Plain Text - 5.4 KB - MD5: 6c82839ccbcc1fbee77f62f150f2c131
q1_l.tab May 28, 2026 - Assessment of BirdNetR classification accuracy in passive acoustic monitoring of reedbed birds / BirdNet klasifikatora precizitātes novērtējums niedrāju putnu pasīvā akustiskajā monitoringā Tabular Data - 489.7 MB - 17 Variables, 2730524 Observations - UNF:6:Y759rEEHYAdz4h5qg49Q5A==
q1_m1.tab May 28, 2026 - Assessment of BirdNetR classification accuracy in passive acoustic monitoring of reedbed birds / BirdNet klasifikatora precizitātes novērtējums niedrāju putnu pasīvā akustiskajā monitoringā Tabular Data - 172.7 MB - 17 Variables, 939658 Observations - UNF:6:XFdiMsBsDilLDaWmV3Q9oQ==
q1_m2.tab May 28, 2026 - Assessment of BirdNetR classification accuracy in passive acoustic monitoring of reedbed birds / BirdNet klasifikatora precizitātes novērtējums niedrāju putnu pasīvā akustiskajā monitoringā Tabular Data - 104.3 MB - 17 Variables, 567260 Observations - UNF:6:f5KUMxcqa3QcNHl6hHOdiA==
q1_m3.tab May 28, 2026 - Assessment of BirdNetR classification accuracy in passive acoustic monitoring of reedbed birds / BirdNet klasifikatora precizitātes novērtējums niedrāju putnu pasīvā akustiskajā monitoringā Tabular Data - 61.8 MB - 17 Variables, 342534 Observations - UNF:6:tKSDcy+cE5Zt1wuP7ig9lw==
q1_m4.tab May 28, 2026 - Assessment of BirdNetR classification accuracy in passive acoustic monitoring of reedbed birds / BirdNet klasifikatora precizitātes novērtējums niedrāju putnu pasīvā akustiskajā monitoringā Tabular Data - 153.7 MB - 17 Variables, 827394 Observations - UNF:6:pNrQBh/ym19D1H6LR+oioQ==
q1_m5.tab May 28, 2026 - Assessment of BirdNetR classification accuracy in passive acoustic monitoring of reedbed birds / BirdNet klasifikatora precizitātes novērtējums niedrāju putnu pasīvā akustiskajā monitoringā Tabular Data - 50.6 MB - 17 Variables, 278322 Observations - UNF:6:cf86MgEU2nmdaK1g13yFJg==

Assessment of BirdNetR classification accuracy in passive acoustic monitoring of reedbed birds / BirdNet klasifikatora precizitātes novērtējums niedrāju putnu pasīvā akustiskajā monitoringā

May 28, 2026

Locs, Mārtiņš, 2026, "Assessment of BirdNetR classification accuracy in passive acoustic monitoring of reedbed birds / BirdNet klasifikatora precizitātes novērtējums niedrāju putnu pasīvā akustiskajā monitoringā", https://doi.org/10.71782/DATA/FGYBPI, DataverseLV, V1, UNF:6:066QXtZICNQDYrxCHKAufg== [fileUNF]

[ENG] This repository was created to maintain and ensure the storage of large files of the bachelor's thesis, as well as to reproduce the work progress and results. The study evaluated the accuracy of the deep learning classifier BirdNet in passive acoustic monitoring of reed birds in Latvia. Autonomous recording units were placed in 24 randomly se...

Ainava_vienk_mask.tif

May 28, 2026 - Assessment of BirdNetR classification accuracy in passive acoustic monitoring of reedbed birds / BirdNet klasifikatora precizitātes novērtējums niedrāju putnu pasīvā akustiskajā monitoringā

TIFF Image - 209.2 MB -

BirdNet_PAM_LV_ReadMe_EN.txt

Plain Text - 5.2 KB -

BirdNet_PAM_LV_ReadMe_LV.txt

Plain Text - 5.4 KB -

q1_l.tab

Tabular Data - 489.7 MB - 17 Variables, 2730524 Observations -

q1_m1.tab

Tabular Data - 172.7 MB - 17 Variables, 939658 Observations -

q1_m2.tab

Tabular Data - 104.3 MB - 17 Variables, 567260 Observations -

q1_m3.tab

Tabular Data - 61.8 MB - 17 Variables, 342534 Observations -

q1_m4.tab

Tabular Data - 153.7 MB - 17 Variables, 827394 Observations -

q1_m5.tab

Tabular Data - 50.6 MB - 17 Variables, 278322 Observations -

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