Table 1 Animal-specific data corpora and distribution.
From: ANIMAL-SPOT enables animal-independent signal detection and classification using deep learning
Dataset | Label type | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
Target label | Noise label | \(\sum\) labels | ||||||||||
smp[#]\(^{1}\) | smp[min.]\(^{2}\) | smp[%]\(^{3}\) | \(\sum\)r[min.]\(^{4}\) | smp[#]\(^{1}\) | smp[min.]\(^{2}\) | smp[%]\(^{3}\) | \(\sum\)r[min.]\(^{4}\) | smp[#]\(^{1}\) | smp[min.]\(^{2}\) | smp[%]\(^{3}\) | \(\sum\)r[min.]\(^{4}\) | |
Cockatiel* | 1271 | 12.41 | 40.9 | 2.46 | 1840 | 41.68 | 59.1 | 179.10 | 3111 | 54.09 | 100.0 | 181.56 |
Sulphur-crested cockatoo | 1495 | 15.26 | 41.1 | 3.37 | 2145 | 34.99 | 58.9 | 46.81 | 3640 | 50.25 | 100.0 | 50.18 |
Peach-fronted conure | 1174 | 12.35 | 55.2 | 0.22 | 952 | 8.88 | 44.8 | 4.53 | 2126 | 21.23 | 100.0 | 4.75 |
Monk parakeet* | 3133 | 17.20 | 46.4 | 0.63 | 3612 | 75.25 | 53.6 | 12.63 | 6745 | 92.45 | 100.0 | 13.26 |
Blue-/golden-winged warbler* | 1616 | 48.99 | 32.0 | 5.43 | 3431 | 95.10 | 68.0 | 14.57 | 5047 | 144.09 | 100.0 | 20.00 |
Chinstrap penguin | 906 | 4.86 | 20.8 | 0.82 | 3454 | 15.40 | 79.2 | 3.26 | 4360 | 20.26 | 100.0 | 4.08 |
Atlantic cod | 382 | 3.14 | 30.6 | 0.19 | 867 | 6.00 | 69.4 | 20.82 | 1249 | 9.14 | 100.0 | 21.01 |
Harbour seal* | 2900 | 55.18 | 56.4 | 7.79 | 2245 | 58.67 | 43.6 | 22.21 | 5145 | 113.85 | 100.0 | 30.00 |
Killer whale34* | 17,104 | 649.45 | 27.8 | 20.64 | 44,323 | 2076.36 | 72.2 | 121.49 | 61,427 | 2725.81 | 100.0 | 142.13 |
Pygmy pipistrelle* | 1570 | 0.18 | 31.0 | 0.10 | 3490 | 4.94 | 69.0 | 1.11 | 5060 | 5.12 | 100.0 | 1.21 |
Chimpanzee* | 7079 | 231.17 | 57.2 | 2.89 | 5305 | 174.44 | 42.8 | 87.11 | 12,384 | 405.61 | 100.0 | 90.00 |
BirdVox-Full-Night36 | 35,402 | 295.02 | 50.0 | − | 35,402 | 295.02 | 50.0 | − | 70,804 | 588 | 100.0 | − |
