Dhruv Sheth / Wildlife Audio Threat Detection Public
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Target

No name set

Audible events

Himax WE-I (ARC DSP 400MHz)

500 ms

2048 kB

2048 kB

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General

F1-score

Precision

Recall

92%
mfe-conv1d-7e6
Show logs
PERFORMANCE
LATENCY
32 ms of 500 ms
RAM
27 kB of 2048 kB
ROM
63 kB of 2048 kB
DSP NN Unused
INPUT

1000 ms | 500 ms

MFE

0.02 | 0.02 | 40

ACCURACY
NEURAL NETWORK (KERAS)

0.005 | 100

Type Filters Kernel Rate
conv1d 16 3 -
conv1d 32 3 -
dropout - - 0.25
dense 64 - -
dropout - - 0.25

7/26/2021, 9:12:43 AM

92%
mfe-conv2d-931
Show logs
PERFORMANCE
LATENCY
171 ms of 500 ms
RAM
26 kB of 2048 kB
ROM
63 kB of 2048 kB
DSP NN Unused
INPUT

1000 ms | 500 ms

MFE

0.032 | 0.032 | 40

ACCURACY
NEURAL NETWORK (KERAS)

0.005 | 100

Type Filters Kernel Rate
conv2d 8 3 -
conv2d 16 3 -
conv2d 32 3 -
dropout - - 0.5
dense 64 - -
dropout - - 0.5

7/26/2021, 9:16:53 AM

92%
mfe-conv1d-7f2
Show logs
PERFORMANCE
LATENCY
15 ms of 500 ms
RAM
52 kB of 2048 kB
ROM
61 kB of 2048 kB
DSP NN Unused
INPUT

1000 ms | 1000 ms

MFE

0.032 | 0.016 | 40

ACCURACY
NEURAL NETWORK (KERAS)

0.005 | 100

Type Filters Kernel Rate
conv1d 8 3 -
conv1d 16 3 -
dropout - - 0.25

7/26/2021, 9:09:27 AM

90%
mfe-conv1d-8af
Show logs
PERFORMANCE
LATENCY
40 ms of 500 ms
RAM
29 kB of 2048 kB
ROM
36 kB of 2048 kB
DSP NN Unused
INPUT

2000 ms | 2000 ms

MFE

0.032 | 0.032 | 40

ACCURACY
NEURAL NETWORK (KERAS)

0.005 | 100

Type Filters Kernel Rate
conv1d 16 3 -
conv1d 32 3 -
dropout - - 0.5
dense 64 - -
dropout - - 0.5

7/26/2021, 9:09:33 AM

90%
mfe-conv1d-356
Show logs
PERFORMANCE
LATENCY
32 ms of 500 ms
RAM
66 kB of 2048 kB
ROM
51 kB of 2048 kB
DSP NN Unused
INPUT

2000 ms | 2000 ms

MFE

0.032 | 0.032 | 40

ACCURACY
NEURAL NETWORK (KERAS)

0.005 | 100

Type Filters Kernel Rate
conv1d 8 3 -
conv1d 16 3 -
conv1d 32 3 -
conv1d 64 3 -
dropout - - 0.5
dense 64 - -
dropout - - 0.5

7/26/2021, 9:16:31 AM

90%
mfe-conv1d-010
Show logs
PERFORMANCE
LATENCY
39 ms of 500 ms
RAM
41 kB of 2048 kB
ROM
63 kB of 2048 kB
DSP NN Unused
INPUT

2000 ms | 2000 ms

MFE

0.032 | 0.016 | 40

ACCURACY
NEURAL NETWORK (KERAS)

0.005 | 100

Type Filters Kernel Rate
conv1d 8 3 -
conv1d 16 3 -
conv1d 32 3 -
dropout - - 0.25

7/26/2021, 9:16:50 AM

90%
mfe-conv2d-501
Show logs
PERFORMANCE
LATENCY
290 ms of 500 ms
RAM
60 kB of 2048 kB
ROM
199 kB of 2048 kB
DSP NN Unused
INPUT

1000 ms | 500 ms

MFE

0.05 | 0.025 | 40

ACCURACY
NEURAL NETWORK (KERAS)

0.005 | 100

Type Filters Kernel Rate
conv2d 8 3 -
conv2d 16 3 -
conv2d 32 3 -
conv2d 64 3 -
dropout - - 0.5

7/26/2021, 9:14:56 AM

85%
mfe-conv1d-0c4
Show logs
PERFORMANCE
LATENCY
32 ms of 500 ms
RAM
27 kB of 2048 kB
ROM
63 kB of 2048 kB
DSP NN Unused
INPUT

1000 ms | 500 ms

MFE

0.02 | 0.02 | 40

ACCURACY
NEURAL NETWORK (KERAS)

0.005 | 100

Type Filters Kernel Rate
conv1d 16 3 -
conv1d 32 3 -
dropout - - 0.25
dense 64 - -
dropout - - 0.25

7/26/2021, 9:16:58 AM

83%
mfe-conv1d-065
Show logs
PERFORMANCE
LATENCY
29 ms of 500 ms
RAM
34 kB of 2048 kB
ROM
45 kB of 2048 kB
DSP NN Unused
INPUT

1000 ms | 500 ms

MFE

0.032 | 0.016 | 40

ACCURACY
NEURAL NETWORK (KERAS)

0.005 | 100

Type Filters Kernel Rate
conv1d 8 3 -
conv1d 16 3 -
conv1d 32 3 -
conv1d 64 3 -
dropout - - 0.5

7/26/2021, 9:12:51 AM

82%
mfe-conv2d-9da
Show logs
PERFORMANCE
LATENCY
208 ms of 500 ms
RAM
50 kB of 2048 kB
ROM
193 kB of 2048 kB
DSP NN Unused
INPUT

2000 ms | 2000 ms

MFE

0.032 | 0.032 | 40

ACCURACY
NEURAL NETWORK (KERAS)

0.005 | 100

Type Filters Kernel Rate
conv2d 8 3 -
conv2d 16 3 -
dropout - - 0.5
dense 64 - -
dropout - - 0.5

7/26/2021, 9:13:27 AM

76%
spectr-conv2d-c91
Show logs
PERFORMANCE
LATENCY
133 ms of 500 ms
RAM
30 kB of 2048 kB
ROM
75 kB of 2048 kB
DSP NN Unused
INPUT

1000 ms | 500 ms

SPECTROGRAM

0.075 | 0.075 | -52

ACCURACY
NEURAL NETWORK (KERAS)

0.005 | 100

Type Filters Kernel Rate
conv2d 8 3 -
conv2d 16 3 -
conv2d 32 3 -
dropout - - 0.25
dense 64 - -
dropout - - 0.25

7/26/2021, 9:15:16 AM

76%
spectr-conv2d-44c
Show logs
PERFORMANCE
LATENCY
192 ms of 500 ms
RAM
122 kB of 2048 kB
ROM
78 kB of 2048 kB
DSP NN Unused
INPUT

1000 ms | 1000 ms

SPECTROGRAM

0.075 | 0.075 | -32

ACCURACY
NEURAL NETWORK (KERAS)

0.005 | 100

Type Filters Kernel Rate
conv2d 8 3 -
conv2d 16 3 -
conv2d 32 3 -
conv2d 64 3 -
dropout - - 0.25

7/26/2021, 9:15:29 AM

76%
spectr-conv2d-6b0
Show logs
PERFORMANCE
LATENCY
229 ms of 500 ms
RAM
28 kB of 2048 kB
ROM
63 kB of 2048 kB
DSP NN Unused
INPUT

1000 ms | 1000 ms

SPECTROGRAM

0.075 | 0.0375 | -72

ACCURACY
NEURAL NETWORK (KERAS)

0.005 | 100

Type Filters Kernel Rate
conv2d 8 3 -
conv2d 16 3 -
conv2d 32 3 -
dropout - - 0.5

7/26/2021, 9:16:57 AM

75%
mfe-conv2d-3a8
Show logs
PERFORMANCE
LATENCY
178 ms of 500 ms
RAM
50 kB of 2048 kB
ROM
43 kB of 2048 kB
DSP NN Unused
INPUT

2000 ms | 1000 ms

MFE

0.032 | 0.032 | 40

ACCURACY
NEURAL NETWORK (KERAS)

0.005 | 100

Type Filters Kernel Rate
conv2d 8 3 -
conv2d 16 3 -
dropout - - 0.25

7/26/2021, 9:11:34 AM

74%
spectr-conv1d-fbc
Show logs
PERFORMANCE
LATENCY
268 ms of 500 ms
RAM
53 kB of 2048 kB
ROM
71 kB of 2048 kB
DSP NN Unused
INPUT

2000 ms | 1000 ms

SPECTROGRAM

0.025 | 0.0125 | -72

ACCURACY
NEURAL NETWORK (KERAS)

0.005 | 100

Type Filters Kernel Rate
conv1d 16 3 -
conv1d 32 3 -
conv1d 64 3 -
conv1d 128 3 -
dropout - - 0.5

7/26/2021, 9:12:11 AM

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